Sr Data Scientist- Promo Optimisation

About this role

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Skills you'll use

Who can apply

• Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Operations Research, Industrial Engineering, Economics, Physics, Applied Sciences, or a related quantitative field.
• 4+ years of relevant experience in data science, applied machine learning, operations research, optimization, AI engineering, or advanced analytics.
• Hands-on experience applying machine learning techniques to solve business problems, preferably in retail, e-commerce, Marketing, personalization, promotions, pricing, supply chain, advertising, or customer decisioning.
• Strong foundation in supervised and unsupervised learning, probability, statistics, experimental design, model evaluation, and data analysis.
• Experience with one or more areas of operations research, such as linear programming, mixed-integer programming, constrained optimization, simulation, stochastic processes, heuristic optimization, or decision science.
• Experience building and deploying models or algorithmic systems that create measurable business impact in production environments.
• Strong programming skills in Python and SQL, with experience working with large-scale data platforms such as Spark, Hadoop, Hive, or cloud-based distributed data environments.
• Experience with ML frameworks and libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, OR-Tools, Pyomo, Gurobi, CPLEX, or similar tools.
• Working knowledge of MLOps and production ML practices, including model versioning, automated pipelines, testing, monitoring, reproducibility, CI/CD, observability, and model governance.
• Ability to clean, transform, join, and analyze large datasets and convert complex data into actionable insights and production-ready features.

Perks & benefits

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