Python Developer Jobs in Qatar

<p><span style="font-size: 11px;">&nbsp;As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture.</span></p><p><b>What You'll Do</b></p><ul><li>Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and modern data engineering technologies.</li><li>Build robust ELT/ETL solutions, integrating data from multiple enterprise sources while ensuring quality, security and governance.</li><li>Collaborate with business stakeholders, architects and cross-functional delivery teams to translate business requirements into technical solutions.</li><li>Optimise Snowflake performance, cost management and data modelling to deliver efficient, high-performing data platforms.</li><li>Support client engagements through technical leadership, solution design, mentoring team members and contributing to successful project delivery.</li></ul><p>What We're Looking For</p><ul><li>Proven experience delivering enterprise-scale data engineering solutions with strong hands-on expertise in Snowflake.</li><li>Experience with SQL, Python and modern cloud platforms such as AWS, Azure or Google Cloud.</li><li>Strong understanding of data warehousing, dimensional modelling, data integration and data governance principles.</li><li>Excellent stakeholder management, communication and consulting skills with the ability to influence technical and business audiences.</li><li>Experience working within Agile delivery environments and leading technical workstreams</li><li>Proven track record building end-to-end ELT/ETL ingestion and transformation pipelines</li><li>Strong understanding of data warehousing, dimensional modeling, Iceberg open-table storage formats, data integration, and data governance principles.</li><li>Experience configuring and deploying advanced Snowflake features and frameworks, including Snowpark, Dynamic Tables, Streams &amp; Tasks, Snowpipe / Streaming ingestion, dbt Projects, and open table formats (e.g., Apache Iceberg)</li><li>Experience with dbt, Apache Airflow, Kafka or other modern data engineering tools.</li></ul><p>Bonus Points For</p><ul><li>Relevant Snowflake certifications or other cloud platform certifications.</li><li>Exposure to financial services, banking, capital markets or insurance.</li><li>Experience with DevOps, CI/CD pipelines and Infrastructure as Code.</li><li>Previous consulting experience delivering complex client engagements.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Positions and required experience are outlined below:</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><p>1) AMI System Operator:</p><ul><li><p>Bachelor’s degree in electrical engineering, Information Technology, or a related discipline.</p></li><li><p>Minimum 4 years of relevant experience in AMI system monitoring, MDM/HES operations,<br>or similar environments.</p></li><li><p>Proficiency in AMI systems and operational software tools.</p></li><li><p>Knowledge of smart metering technologies and communication Strong analytical, reporting, and coordination skills.</p></li><li><p>Written and Spoken English is essential; Arabic is preferred.</p><br></li></ul><p>2)&nbsp;AMI Analyst:</p><br><ul><li><p>Bachelor’s degree in Data Science, Computer Science, Engineering, or a related discipline.</p></li><li><p>Certification in data analytics tools (Power BI, Tableau,Google Data Analytics, or<br>equivalent).</p></li><li><p>Minimum 4 years of relevant experience in data analysis, preferably within AMI or utility<br>systems.</p></li><li><p>Proficiency in data analytics tools (Power BI, Tableau).</p></li><li><p>Strong programming skills (Python, R, SQL).</p></li><li><p>Ability to manage large datasets and generate actionable insights.</p></li><li><p>Written and Spoken English is essential; Arabic is preferred.</p><br></li></ul><p>3) Data Engineer (AMI):</p><br><ul><li><p>Bachelor’s degree in Computer Science, Information Systems, or a related discipline.</p></li><li><p>Cloud / Data Engineering certification (AWS, Azure, or GCP).</p></li><li><p>Minimum 9 years of relevant experience in data engineering or similar roles</p></li><li><p>Expertise in data pipeline design and development.</p></li><li><p>Proficiency with databases and big data technologies (Hadoop, Spark)</p></li><li><p>Strong analytical, problem-solving, and system optimization skills.</p></li><li><p>Written and Spoken English is essential; Arabic is preferred.</p><br></li></ul><p>4)&nbsp;Senior Engineer – AMI Application:</p><br><ul><li><p>Bachelor’s degree in software engineering, IT, or a related discipline.</p></li><li><p>Minimum 9 years of relevant experience in application engineering or similar roles.</p></li><li><p>Certified in AMI / MDM / HES platform administration (Siemens or equivalent), IT service<br>management (ITIL or equivalent), and database or system integration technologies<br>(Oracle, API/middleware, or equivalent).</p></li><li><p>Strong knowledge of APIs, middleware, SOA/ESB integrations.</p></li><li><p>Experience in application development, configuration, and troubleshooting.</p></li><li><p>Excellent communication and end-user support skills.</p></li><li><p>Written and Spoken English is essential; Arabic is preferred</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span style="font-size: 11px;">Key Responsibilities</span></p><ul><li>Understand ongoing business problems and translate them into research and analytical studies</li><li>Identify relevant data sources and define the type of data required for analysis</li><li>Gather, clean, and prepare data for analysis to ensure accuracy and reliability</li><li>Perform in-depth data analysis to extract meaningful insights</li><li>Interpret findings and present actionable recommendations to support decision-making</li></ul><p>Experience, Professional Qualifications &amp; Criteria</p><ul><li>Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline</li><li>10+ years of Proven experience in data analytics or a similar analytical role</li><li>Professional Certification (preferred): Data Analytics Professional Certificate</li></ul><p>Language Requirements</p><ul><li>Fluency in Arabic (mandatory)</li><li>Strong proficiency in English</li></ul><p>Technical Skills</p><ul><li>Strong mathematical and analytical skills for collecting, measuring, organizing, and analyzing data</li><li>Working knowledge of programming languages such as SQL, Python, R, and Oracle</li><li>Experience with data models, database design development, segmentation, and data mining techniques</li><li>Hands-on experience with reporting tools, databases, and frameworks (XML, ETL, JavaScript frameworks)</li><li>In-depth understanding of statistical methods and tools used to analyze datasets</li><li>Familiarity with big data platforms such as Apache Spark and Hadoop</li><li>Proficiency in data visualization tools including Power BI and Tableau</li><li>Ability to design and apply algorithms to derive insights and solutions from datasets</li></ul><p>Soft Skills</p><ul><li>Strong critical thinking and analytical capabilities</li><li>Excellent communication and presentation skills</li><li>Problem-solving mindset with attention to detail</li><li>Ability to manage multiple priorities effectively</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline</li><li>10+ years of Proven experience in data analytics or a similar analytical role</li><li>Professional Certification (preferred): Data Analytics Professional Certificate</li><li>Fluency in Arabic (mandatory)</li><li>Strong proficiency in English</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><ul><li><p>Provision cloud infrastructure as code across multiple environments: event bus, data lake, warehouse</p></li></ul><p>capacity, and supporting services. Cost monitoring baked into every resource.</p><ul><li><p>Build a deterministic identity resolution service that examines incoming events, resolves identifiers across</p></li></ul><p>source systems, assigns stable person IDs, and runs backward stitching to retroactively link anonymous</p><p>events to known persons. Implement SCD2 versioning and hysteresis to prevent identifier flapping.</p><ul><li><p>Build and maintain a warehouse model with bronze/silver/gold structure covering customer profiles, event</p></li></ul><p>history, orders, products, inventory, consent, segments, and platform operational logs. Tests on every model.</p><ul><li><p>Implement a consent and suppression layer applied at every audience export — per person, per channel,</p></li></ul><p>per purpose — with a global do-not-contact override.</p><ul><li><p>Deploy and configure an orchestration platform covering ingestion, identity resolution, transformations, and</p></li></ul><p>activation, with schedules calibrated to source freshness tiers and Slack-integrated failure alerting.</p><ul><li><p>Build server-side conversion API integrations for major advertising platforms, using platform-specific</p></li></ul><p>identifier hashing and deduplication keys consistent with client-side pixels.</p><ul><li><p>Implement right-to-erasure at the data layer: both soft delete (PII tombstoned, aggregates preserved) and</p></li></ul><p>hard delete (rows removed). Monthly synthetic test verifies the pathway is functional.</p><ul><li><p>Configure observability, alert tiers, geo-redundant storage, and document disaster recovery procedures.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Microsoft Fabric, Azure (AKS, Event Hubs, ADLS Gen2, Functions, Key Vault, Synapse Link), dbt Core, Python, RudderStack OSS, Dagster, Dynamics 365 / Dataverse, networkx, Bicep, SQL</p><br><p><strong>Note- Duration: ~17 week( 3 Months ) full-time Contract. It may extend depeding on the growth of the project.</strong></p><p><strong>Remote acceptable; GCC/Doha-based strongly preferred. Monthly on-site visits required</strong></p><br><p><strong>If you immediate joiner and ok for contacrtual role then only Apply</strong></p><p></p></section>

Position Summary:The Lead Data Engineer is responsible for leading the design, development, implementation, and optimization of scalable cloud-based data platforms and engineering solutions that enable analytics, business intelligence, and data-driven decision-making across Group Digital. The role provides technical leadership, establishes engineering best practices, ensures the delivery of secure and high-performance data solutions, and supports the continuous evolution of the organization’s data ecosystem.<br>Key Responsibilities and Accountabilities:Lead the design, development, implementation, and optimization of scalable cloud-based data platforms, data lakes, and data pipelines supporting Group Digital initiatives. Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud technologies to integrate data from multiple internal and external sources. Develop and optimize data models, storage architectures, and processing frameworks to ensure high performance, scalability, reliability, and cost efficiency. Establish and enforce data engineering standards, coding best practices, documentation, and governance across the data engineering function. Collaborate with Business Intelligence, Product, Technology, Commercial, Marketing, and Content teams to translate business requirements into scalable technical solutions. Ensure data quality, integrity, security, and compliance through monitoring, validation, and governance processes. Support the development of analytics, reporting, dashboards, and self-service BI capabilities by delivering reliable and trusted datasets. Optimize cloud infrastructure, database performance, and processing workloads to improve system availability and operational efficiency. Troubleshoot and resolve complex data platform issues, ensuring minimal disruption to business operations. Mentor and provide technical guidance to Data Engineers, promoting knowledge sharing and continuous capability development. Provide technical leadership across the Data Engineering function by driving engineering best practices, mentoring engineers, and guiding technical decisions across Group Digital. Work closely with cross-functional stakeholders, vendors, and technology partners to deliver data engineering initiatives aligned with business priorities. Contribute to Agile delivery by participating in sprint planning, backlog refinement, code reviews, testing, deployment, and continuous improvement activities. Ensure adherence to enterprise data governance, security, architecture, and compliance standards.<br>Job Requirements and Qualifications:Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field. A master’s degree or relevant cloud certifications (e.g., Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect) is an advantage. Experience: Minimum 7+ years of progressive experience in Data Engineering, Data Platform Development, or related disciplines. Proven experience designing and implementing enterprise-scale data platforms and cloud-native data solutions. Experience leading technical initiatives and mentoring engineering teams. Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud technologies.

Job Title: CCIE Engineer (Cisco ACI Specialist) Location: [Doha, Qatar]Employment Type: Full-time Experience Level: Senior (5–10+ years) Industry: Information Technology / Enterprise Data Centers Job Purpose We are seeking a highly skilled Senior Data Center Engineer with deep expertise in Cisco Data Center architectures to lead the design, implementation, and migration of our enterprise network infrastructure. The ideal candidate will hold a CCIE certification and possess extensive, hands-on experience deploying Cisco ACI fabrics, Nexus switching environments, and Cisco UCS compute platforms. You will play a critical role in data center transformation projects, ensuring high availability, security, and seamless virtualization integration. Key Responsibilities Cisco ACI Deployment: Design, deploy, configure, and implement Cisco ACI fabric in enterprise data center environments using Leaf-Spine architecture. ACI Policy Management: Configure and manage advanced ACI policies including Tenants, VRFs, Bridge Domains, EPGs, Contracts, L3Out, and Application Profiles. Network Migration: Lead the migration planning and execution from traditional legacy network architectures to Cisco ACI. Switching & Infrastructure: Install, configure, and manage Cisco Nexus switches (9000, 7000, and 5000 series), utilizing VXLAN EVPN, v PC, OSPF, BGP, and static routing. Compute Administration: Deploy and administer Cisco UCS B-Series and C-Series servers, including Fabric Interconnects, Service Profiles, VLANs, VSANs, firmware upgrades, and UCS Manager. Virtualization Integration: Integrate Cisco ACI fabrics seamlessly with VMware v Center, Hyper-V, or other enterprise virtualization platforms. Documentation & Governance: Prepare high-quality technical documentation, including High-Level Designs (HLD), Low-Level Designs (LLD), Method of Procedure (MOP), and As-Built documentation. Operations & Support: Perform lifecycle management (software upgrades, patching, health checks) and provide expert-level troubleshooting support during major implementation activities and maintenance windows. Required Skills & Qualifications Certifications (Highly Preferred):Cisco Certified Internetwork Expert (CCIE) Data Center or CCIE Routing & Switching. Cisco Certified Specialist – ACI Implementation. VMware Certified Professional (VCP) is a strong plus. Technical Experience:5 to 10+ years of dedicated experience in Cisco Data Center networking. Minimum 5+ years of solid, hands-on Cisco ACI implementation experience in production environments. Proven track record of deploying Cisco UCS infrastructure. Core Protocols: Strong knowledge of VXLAN, EVPN, v PC, VLAN, STP, HSRP, OSPF, and BGP. Storage & Automation (Desirable):Familiarity with storage networking (SAN), Fibre Channel, and VSAN. Experience or familiarity with automation tools like Ansible, Python, or Terraform is a distinct advantage.

Mid/Senior Solution Architect – Qatar<br>A fantastic opportunity for a skilled Solution Architect do join a global AI/Deep Tech company, as part of their expansion into the Middle East.<br>In this role you will join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.<br>***Applicants must have legal authorization to work in Qatar***<br>Requirements:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML), including sovereign, on-premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (v LLM, llama.cpp, Open VINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, Tensor Flow, Hugging Face). Must be available to travel as needed for meetings, conferences, and project requirements. Languages: Arabic and English<br>Nice to Have:•Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.•Experience with AI model optimization, quantization, or deployment to edge devices.•Hands-on experience designing RAG pipelines and/or multi-agent systems..•Experience designing data architectures (batch & streaming) and working with big data technologies.•Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.<br><br>By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

Position: Senior Systems Analyst<br><br>Industry: Oil & Gas<br><br>Location: Doha, Qatar<br><br>Role Overview<br><br>We are seeking an experienced and analytical Senior Systems Analyst to act as the focal point for business process support within the Project Services Directorate. This role is responsible for ensuring effective use of SAP and other enterprise systems, supporting end-users, and driving continuous improvement initiatives.<br><br>The successful candidate will bridge business and ICT teams, translating operational needs into system enhancements and delivering optimized solutions that support strategic project objectives.<br><br>Key Responsibilities<br><br>Business & Systems Support<br><br>Serve as the primary point of contact for system-related queries and issue resolution for engineering and project teams. Provide first-line support to ensure systems operate efficiently and meet user requirements within defined timelines. Liaise with ICT teams to communicate business requirements and support system enhancements.<br><br>Business Process Improvement<br><br>Conduct detailed analysis of existing processes to identify inefficiencies, bottlenecks, risks, and opportunities for improvement. Develop and recommend innovative solutions to enhance business processes and system utilization. Drive automation and integration initiatives across SAP modules (e.g., SAP PS, ES) and related systems.<br><br>Solution Development<br><br>Prepare comprehensive business cases and functional specifications for process improvement initiatives. Collaborate with stakeholders and Subject Matter Experts (SMEs) to secure alignment and approvals. Translate complex technical and operational requirements into structured documentation.<br><br>Data Analysis & Reporting<br><br>Perform data analysis and integrity checks to support performance evaluation and decision-making. Develop data models, algorithms, and dashboards to derive actionable insights. Utilize data visualization tools (e.g., Power BI, Tableau) for reporting and analytics.<br><br>Testing & Implementation<br><br>Coordinate User Acceptance Testing (UAT) and system implementation activities. Manage data migration activities across SAP and other enterprise systems. Ensure solutions are deployed effectively, meeting agreed timelines and business requirements.<br><br>Cross-Functional Coordination<br><br>Work closely with internal stakeholders across departments to resolve complex business challenges. Facilitate collaboration between technical teams and business users to ensure seamless delivery of solutions.<br><br>Requirements<br><br>Bachelor’s or Master’s degree in Business, Computer Science, Information Systems, or a related discipline. Minimum 8 years of experience in business process analysis and data analytics within a project-driven environment. Prior experience in Oil & Gas or EPC industries is highly preferred. Strong expertise in business process analysis, modeling, and optimization. Hands-on experience with SAP modules (preferably SAP PS) and enterprise systems. Proficiency in data analysis, data mining, and statistical techniques. Experience in data visualization tools such as Power BI, Tableau, SAS, or Python. Knowledge of workflow automation tools (e.g., Share Point). Ability to develop data models, algorithms, and simulations. Familiarity with project management principles and methodologies. Strong documentation and diagramming skills (process flows, ERDs, workflows).

Position: Senior Systems Analyst<br><br>Industry: Oil & Gas<br><br>Location: Doha, Qatar<br><br>Role Overview<br><br>We are seeking an experienced and analytical Senior Systems Analyst to act as the focal point for business process support within the Project Services Directorate. This role is responsible for ensuring effective use of SAP and other enterprise systems, supporting end-users, and driving continuous improvement initiatives.<br><br>The successful candidate will bridge business and ICT teams, translating operational needs into system enhancements and delivering optimized solutions that support strategic project objectives.<br><br>Key Responsibilities<br><br>Business & Systems Support<br><br>Serve as the primary point of contact for system-related queries and issue resolution for engineering and project teams. Provide first-line support to ensure systems operate efficiently and meet user requirements within defined timelines. Liaise with ICT teams to communicate business requirements and support system enhancements.<br><br>Business Process Improvement<br><br>Conduct detailed analysis of existing processes to identify inefficiencies, bottlenecks, risks, and opportunities for improvement. Develop and recommend innovative solutions to enhance business processes and system utilization. Drive automation and integration initiatives across SAP modules (e.g., SAP PS, ES) and related systems.<br><br>Solution Development<br><br>Prepare comprehensive business cases and functional specifications for process improvement initiatives. Collaborate with stakeholders and Subject Matter Experts (SMEs) to secure alignment and approvals. Translate complex technical and operational requirements into structured documentation.<br><br>Data Analysis & Reporting<br><br>Perform data analysis and integrity checks to support performance evaluation and decision-making. Develop data models, algorithms, and dashboards to derive actionable insights. Utilize data visualization tools (e.g., Power BI, Tableau) for reporting and analytics.<br><br>Testing & Implementation<br><br>Coordinate User Acceptance Testing (UAT) and system implementation activities. Manage data migration activities across SAP and other enterprise systems. Ensure solutions are deployed effectively, meeting agreed timelines and business requirements.<br><br>Cross-Functional Coordination<br><br>Work closely with internal stakeholders across departments to resolve complex business challenges. Facilitate collaboration between technical teams and business users to ensure seamless delivery of solutions.<br><br>Requirements<br><br>Bachelor’s or Master’s degree in Business, Computer Science, Information Systems, or a related discipline. Minimum 8 years of experience in business process analysis and data analytics within a project-driven environment. Prior experience in Oil & Gas or EPC industries is highly preferred. Strong expertise in business process analysis, modeling, and optimization. Hands-on experience with SAP modules (preferably SAP PS) and enterprise systems. Proficiency in data analysis, data mining, and statistical techniques. Experience in data visualization tools such as Power BI, Tableau, SAS, or Python. Knowledge of workflow automation tools (e.g., Share Point). Ability to develop data models, algorithms, and simulations. Familiarity with project management principles and methodologies. Strong documentation and diagramming skills (process flows, ERDs, workflows).

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The B2B Digital Marketing team sits within Agoda’s B2B Marketing organization and is responsible for delivering high‑quality, scalable marketing campaigns for our partners across B2B2C channels. We work closely with Commercial, Product, Data, and regional Marketing teams to ensure campaigns are efficiently executed, performance is clearly measured, and partners receive actionable, data‑driven recommendations that drive value for both Agoda and our partners.<br><br>Our mission is to balance operational excellence with growth impact — building repeatable, scalable frameworks that allow us to support dozens of partners at once, while still delivering insights tailored to each partner’s performance and business context.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The B2B Digital Marketing team sits within Agoda’s B2B Marketing organization and is responsible for delivering high‑quality, scalable marketing campaigns for our partners across B2B2C channels. We work closely with Commercial, Product, Data, and regional Marketing teams to ensure campaigns are efficiently executed, performance is clearly measured, and partners receive actionable, data‑driven recommendations that drive value for both Agoda and our partners.<br><br>Our mission is to balance operational excellence with growth impact — building repeatable, scalable frameworks that allow us to support dozens of partners at once, while still delivering insights tailored to each partner’s performance and business context.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.