Data Scientist, Product to Market (P2M) Optimization
Core
Develop and test machine learning, optimization, and statistical models to solve retail Product-to-Market (P2M) problems including inventory positioning, pricing, and promotion.
Role type
Junior to Mid-level applied data scientist (optimization & ML)
Builds
Production ML models and analytical solutions for retail P2M lifecycle
Domain
Retail, Supply Chain, Operations Research
Deliverable
production ML models
Required skills
Machine learning, Statistics, Python, SQL, Quantitative problem solving, Data analysis
Preferred skills
Mathematical optimization (linear/mixed-integer programming), Pyomo, Gurobi, OR-Tools, PySpark, Databricks, GCP, Causal inference, LLM agents
Technologies
Python, SQL, Gurobi, Pyomo, OR-Tools, PySpark, Databricks, GCP
Responsibilities
Develop and test ML and optimization models for retail P2M problems, Analyze large datasets to develop analytical solutions, Evaluate model performance and support measurement of business impact, Collaborate with cross-functional partners to understand requirements and communicate findings
Seniority
Junior to Mid-level, hands-on IC
