Sr Data Scientist

Key Responsibilities

JOB DESCRIPTION

Modeling & Forecasting: Develop and maintain predictive models across supply chain and inventory initiatives — including forecasting models, classification, regression, clustering, and segmentation tasks.
Optimization & Simulation: Build and refine models for network optimization, inventory allocation, sourcing, and internal transfers — using discrete optimization, simulation, and heuristic/metaheuristic techniques.
Exploratory Analysis & Feature Development: Use EDA and statistical analysis to develop features, understand drivers of performance, and improve model design.
Time Series Analysis: Design, test, and deploy time series models for demand forecasting, product performance tracking, and lifecycle modeling.
Cross-Functional Collaboration: Work closely with engineering, product, and operations partners to frame problems, communicate insights, and translate models into decisions and tools.
Tooling & Automation: Build scalable pipelines and decision-support tools using Python, Spark, and cloud-based infrastructure.

Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, or a related field
5+ years of experience building and deploying models in a production or operational environment
Proficiency in Python (Pandas, Scikit-learn, NumPy) and SQL; experience with Spark or other distributed frameworks
Demonstrated experience with supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), and model evaluation techniques
Strong background in time series forecasting, including both classical (e.g., ARIMA, exponential smoothing) and ML-based methods (e.g., XGBoost, LSTM, DeepAR)
Experience applying discrete optimization (e.g., MIP, constraint solvers, genetic algorithms) to real-world problems
Familiarity with simulation-based modeling and tradeoff analysis
Experience with data visualization tools (e.g., Superset, Tableau) and stakeholder-facing communication

Strong communication skills, with the ability to explain complex modeling approaches to technical and non-technical audiences