Senior Data Scientist, Inventory 360 (Operations Research)
Core
Develop intelligent decisioning systems using machine learning and operations research to optimize inventory flow, assortment planning, and fulfillment operations for a leading sports retailer.
Role type
Senior IC data scientist (operations research & machine learning)
Builds
Enterprise-grade AI decision engines for inventory and fulfillment optimization
Domain
Retail / Supply Chain / Operations Research
Deliverable
production ML models
Required skills
mixed-integer programming, dynamic programming, graph theory, spatial optimization, simulation, predictive analytics, mathematical programming, Python, PyTorch/TensorFlow, scikit-learn, SQL, Spark, Airflow, cloud platforms (Azure/AWS/GCP), distributed systems, reinforcement learning, contextual bandits, graph algorithms, A/B testing, causal inference
Preferred skills
hybrid ML-OR frameworks, real-time decisioning systems, streaming data architectures, eCommerce/retail domain expertise
Technologies
Python, PyTorch, TensorFlow, scikit-learn, SQL, Spark, Airflow, Azure, AWS, GCP
Responsibilities
Develop ML and OR-based models for demand forecasting, assortment planning, purchase order optimization, and inventory allocation; Apply optimization techniques to solve real-time decisioning problems; Integrate predictive ML models with optimization logic; Build and operationalize decision engines; Collaborate with engineering to deploy models into production systems; Ensure model interpretability, auditability, and alignment with business constraints; Enable real-time decisioning via streaming pipelines and low-latency inference.
Seniority
Senior, hands-on IC
