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Senior Data Scientist

CP Axtra (Makro PRO)

CP Axtra (Makro) is hiring a Senior Data Scientist based in Nawamin, Bangkok, to design and deliver AI, machine learning, and automation solutions supporting retail and digital transformation initiatives. The role builds scalable data pipelines, feature engineering workflows, and predictive models, and applies machine learning, statistical analysis, forecasting, and experimentation to business problems. The Senior Data Scientist implements MLOps practices including deployment, monitoring, retraining, and CI/CD, develops GenAI/LLM applications and automation tools, and works in Agile/Scrum ceremonies. Candidates need a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field, 5+ years of experience in Data Science, ML, or Applied AI, strong Python and SQL skills, and hands-on experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch, plus PySpark and Azure Databricks.

AI Product Engineer (Wholesale Technology Strategy)

CP Axtra (Makro PRO)

CP Axtra (Makro) is hiring an AI Product Engineer within its Wholesale Technology Strategy team in Bangkok. The role is a hybrid of Product Owner, Project Manager, Business Analyst, and Software Engineer, delivering technology and AI solutions from business requirements through live implementation. Duties include gathering requirements and translating them into solution designs, user stories, and delivery plans; developing internal applications, dashboards, automations, and prototypes; writing and troubleshooting code including APIs, database queries, integrations, and front-end or back-end components; using AI tools to accelerate development; owning end-to-end delivery including UAT, training, and go-live; managing project plans and stakeholders; and tracking adoption, KPIs, and business benefits. Candidates need a relevant bachelor's degree, hands-on skills in JavaScript/TypeScript, Python, or SQL, AI-assisted development ability, and bilingual Thai/English communication. Onsite work at Makro Head Office is required.

Senior Tech Lead, Fullstack (Core Retail)

CP Axtra (Makro PRO)

The Senior Tech Lead, Fullstack (Core Retail) will drive digital transformation initiatives, creating flexible systems that scale with market demands. The role involves defining product roadmaps with leadership, leading development squads, and ensuring coding quality. The candidate will build complex system architectures and manage user story backlogs.

Department Manager - Business Report Analyst (Dev.Power BI)

CP Axtra (Makro PRO)

The company seeks a Department Manager to lead Power BI development efforts. The role involves designing and maintaining interactive dashboards, reports, and data models to support data-driven decision-making. The manager will collaborate with cross-functional teams and technical stakeholders to deliver BI solutions, optimize report performance, and ensure data governance compliance. Responsibilities include mentoring team members, developing DAX queries, and participating in Agile ceremonies.

Department Manager - Pricing and Commercial Analytics (CEO Office)

CP Axtra (Makro PRO)

This role transforms retail and pricing data into actionable business decisions by building and maintaining pricing intelligence products. The manager validates pricing recommendations and commercial data while partnering with Commercial, Finance, Operations, Data Science, and BI teams to drive measurable improvements in sales, margins, and operational performance. Responsibilities include classifying SKU-level pricing roles, maintaining decision-support tools like the Price Dashboard, and leading ad-hoc analyses across commercial topics. The position requires developing robust analytical models using SQL, BI tools, and Python to support pricing, promotion, and assortment decisions.

Division Manager - Business Data Analytics (CEO Office)

CP Axtra (Makro PRO)

This role serves as the analytics backbone for the team, bridging data with execution by partnering with retail business teams to identify opportunities and generate actionable insights. The manager will simplify complex data, build analytical models, and translate findings into execution plans that improve business performance. Responsibilities include identifying business opportunities, developing analytical models for sales and operations, enabling faster decision-making through reusable datasets and dashboards, and coaching the team on data-driven practices.

Staff-Lead Data Engineer (Bangkok Based - Relocation Included)

Recruitis

The role is a hands-on technical leadership position at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines and platforms to support Data Science and Performance Marketing teams in running production experiments at scale. The position requires end-to-end ownership of systems that enable rapid experiment launches and involves working with structured and unstructured data at massive scale.

Machine Learning Engineer (Senior-Tech Lead Level)

Recruitis

This role involves designing, building, and improving large-scale machine learning systems for automated optimization and decision-making. The position requires a hands-on technical leader who combines software engineering fundamentals with machine learning expertise. Responsibilities include designing processing pipelines, developing production-grade systems, and taking end-to-end ownership of machine learning solutions from design through deployment and monitoring.

Data Engineer Intern

Sertis

Sertis, a Bangkok-based data and AI engineering company, is hiring a Data Engineer Intern to gain hands-on experience building and supporting data pipelines for real-world projects. Working alongside experienced data engineers, the intern will collect, transform, and organize data from different sources and learn how reliable data systems support analytics and AI solutions. Key duties include implementing ETL processes, selecting and integrating big data tools, monitoring performance, and solving business challenges using large structured and unstructured data. Candidates should be studying a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python, basic Docker/containerization and big data technology exposure, and good communication skills.