Senior Data Scientist
At a glance
Senior Data Science role at Makro PRO. Nawamin.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and put AI, machine learning and automation systems into production, including the data pipelines and predictive models behind them
- Use forecasting, statistical methods and experiments to solve business problems and guide data-driven decisions
- Turn business requests into AI solutions with product owners and technology teams, then manage deployment, monitoring and model updates
- Create GenAI applications and automation tools, and help junior data scientists improve through reviews and technical guidance
- Keep solutions documented and maintainable while contributing to sprint planning and Agile delivery
What you bring
- At least five years in data science, machine learning or applied AI
- A bachelor's or master's degree in data science, computer science, statistics, mathematics or a related discipline
- Strong Python and SQL skills, plus practical use of a machine learning framework such as Scikit-learn or another listed option
- Experience with big-data processing, cloud platforms, MLOps, model deployment and monitoring
- You can explain technical ideas to business stakeholders and have worked in Agile or Scrum teams
Who this fits
This senior role suits someone who can deliver production AI systems and guide junior data scientists. The role is based onsite in Nawamin, Thailand; the listing also describes a flexible hybrid arrangement based in Bangkok.
From the employer
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.
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