Sr Data Scientist- Promo Optimisation
Core
Design, develop, and deploy scalable data science solutions for retail promotion optimization, including segmentation, offer ranking, and decisioning engines.
Role type
Senior IC data scientist (optimization & ML)
Builds
Personalized offers and offer depths for Target Circle guests across the retail assortment
Domain
Retail / Marketing Science / Operations Research
Deliverable
production ML models
Required skills
machine learning, operations research, causal inference, mathematical optimization, experimentation, Python, SQL, large-scale data platforms, MLOps
Preferred skills
marketing science, promotion optimization, causal inference, uplift modeling, simulation frameworks, Generative AI, cloud platforms
Technologies
Python, SQL, Spark, Hadoop, Hive, scikit-learn, XGBoost, TensorFlow, PyTorch, OR-Tools, Pyomo, Gurobi, CPLEX
Responsibilities
Develop ML models for segmentation, propensity, redemption prediction, and offer ranking; Design optimization solutions using linear/mixed-integer programming and simulation; Apply experimentation and causal inference to estimate incremental impact; Build and productionalize scalable data science pipelines; Partner with engineering to deploy models into production systems; Mentor junior team members and uphold scientific rigor
Seniority
Senior, hands-on IC