Sr Data Scientist- Promo Optimisation

Design, develop, deploy, and improve scalable data science solutions for retail promotion optimization, including machine learning models and optimization algorithms.

Own the full lifecycle of models and decision engines: from opportunity sizing and data exploration to production deployment, monitoring, and iterative improvement.

Work cross-functionally with product managers, engineers, and marketing partners; mentor junior team members; and contribute to AI engineering, MLOps, and decision intelligence frameworks.

Bachelor’s, Master’s, or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research, or related.

4+ years of relevant experience in data science, machine learning, operations research, optimization, AI engineering, or advanced analytics.

Strong programming skills in Python and SQL; experience with large-scale data platforms like Spark, Hadoop, or Hive.

Experience developing and deploying machine learning or optimization models in production environments with measurable business impact.

Experienced in applying machine learning, causal inference, and optimization to retail promotion, marketing, personalization, or customer decisioning problems.

Proficient in operations research methods including linear programming, mixed-integer programming, constrained optimization, and simulation.

Skilled at balancing scientific rigor with practical business needs; effective in cross-functional collaboration and mentoring technical teams.