Senior Data Scientist

Position Summary

The Senior Data Scientist plays a key role in designing and delivering AI, machine learning, and automation solutions that drive business impact across retail and digital transformation initiatives. This role works closely with business stakeholders, product owners, and cross functional technology teams to develop scalable, production-ready AI solutions and support data-driven decision making.

Key Responsibilities

• Design, develop, and deploy end-to-end AI/ML and automation solutions.
• Build scalable data pipelines, feature engineering workflows, and predictive models.
• Apply machine learning, statistical analysis, forecasting, and experimentation techniques to solve business problems.
• Collaborate with business and technology teams to translate business needs into AI/ML solutions.
• Implement and support MLOps practices including model deployment, monitoring, retraining, and CI/CD workflows.
• Develop GenAI/LLM-based applications and automation tools to improve operational efficiency.
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.
• Mentor junior data scientists through code reviews, technical guidance, and best practices.
• Ensure proper documentation, maintainability, and scalability of AI solutions.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in Data Science, Machine Learning, or Applied AI.
• Strong programming skills in Python and SQL.
• Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with big data processing and cloud platforms such as PySpark and Azure Databricks.
• Strong understanding of statistics, forecasting, experimentation, and model evaluation.
• Experience with MLOps, model deployment, and monitoring processes.
• Ability to communicate technical concepts effectively to business stakeholders.
• Experience working in Agile/Scrum environments.

Additional Preferred Qualifications

• Experience in retail, e-commerce, FMCG, or digital business environments.
• Familiarity with Azure ML, MLflow, Airflow, Docker, or Kubernetes.
• Experience with GenAI, LLM applications, prompt engineering, or RAG pipelines.
• Understanding of data governance and PDPA considerations.
• Experience mentoring or leading junior team members.
• Certifications in AI, Cloud, or Data Science are a plus.

Benefits

Why Join Us?

• Work on high-impact AI and machine learning initiatives within a leading retail organization.
• Build and deploy real-world AI solutions that drive measurable business outcomes.
• Collaborate with cross-functional teams in a modern, cloud-native technology environment.
• Access cutting-edge tools and platforms in AI, MLOps, and GenAI.
• Be part of a fast-growing digital transformation team with strong career growth opportunities.
• Flexible hybrid working environment based in Bangkok.