Senior Analyst, Data Science
Core
Build, validate, deploy, and maintain Data Science and Optimization models for Pricing, Inventory, and Fulfillment Optimization; design experimental frameworks to measure causal impacts on KPIs; develop end-to-end simulation pipelines.
Role type
Senior IC data scientist (optimization & experimentation)
Builds
Production optimization policies (allocation, pricing, fulfillment), simulation pipelines, validation dashboards
Domain
Retail/Supply Chain optimization, causal inference, stochastic systems
Deliverable
production ML models
Required skills
Bayesian Machine Learning, Deep Learning, Time Series Modeling, Inventory Optimization, Promo & Markdown Optimization, Fulfillment Optimization, Experimentation Design, Simulation Methods, SQL, Python, PowerBI/Tableau, Scikit-learn, TensorFlow, PyTorch
Preferred skills
None stated
Technologies
Scikit-learn, TensorFlow, PyTorch, SQL, Python, PowerBI, Tableau
Responsibilities
Define allocation, price, and fulfillment optimization policies; analyze sales trends via time series modeling; implement experimentation and simulation methods for stochastic systems; develop data validation and visualization dashboards; collaborate with functional teams on data science roadmaps.
Seniority
Senior, hands-on IC
