Sr Lead Data Scientist - 11773
Core
Design, prototype, and implement advanced predictive models (Time Series, NLP, Deep Learning) to solve supply chain and sourcing challenges, serving as inputs for large-scale mathematical optimization engines.
Role type
Senior IC machine learning engineer (supply chain optimization)
Builds
Production ML models and MLOps pipelines for a multi-tenant SaaS platform
Domain
Supply chain management, sourcing, and spend optimization
Deliverable
production ML models
Required skills
Predictive modeling, time-series forecasting, deep learning, Python, SQL, feature engineering, MLOps, software design patterns
Preferred skills
Operations Research (Linear Programming, MIP), cloud-native ML microservices, distributed computing (PySpark, Databricks), LLM integration
Technologies
Scikit-Learn, PyTorch, TensorFlow, XGBoost, AWS SageMaker, GCP, Docker, Kubernetes, Gurobi, CPLEX
Responsibilities
Take end-to-end technical ownership of complex ML features; Act as primary liaison to Operations Research team; Design scalable automated ML pipelines; Mentor senior and junior data scientists; Collaborate with Product Managers and Engineering leaders; Engineer novel features from massive, complex datasets
Seniority
Senior, hands-on IC with mentorship responsibilities
