Lead Data Scientist - Retail Strategic Health Analytics

The Lead Data Scientist will play a critical role in developing, scaling, and deploying best‑in‑class forecasting models that drive merchandising category forecasting and decision‑making. This role sits within a high‑impact data science team responsible for translating complex transactional and behavioral data into accurate, actionable forecasts that inform financial, labor, and promotional strategies.

The Lead Data Scientist will own end‑to‑end model development, from problem formulation and feature engineering through validation, deployment, and ongoing performance monitoring, while providing technical leadership and mentorship to other data scientists.

• 7+ years of professional experience in data science, applied statistics, or machine learning

• Hands‑on experience developing time series forecasting or predictive models in a production environment

• Proficiency in Python for data analysis and model development

• Experience working with SQL and large, structured datasets

• Demonstrated experience applying statistical or machine learning techniques (e.g., regression, tree‑based models, time series models)

• Experience deploying, maintaining, or operationalizing models in partnership with engineering or analytics teams

• Previous experience in a lead or senior individual contributor role, owning model design and technical decisions

• Strong problem‑solving skills with the ability to translate ambiguous business questions into well‑defined analytical problems

• Experience influencing stakeholders and communicating model insights to non‑technical audiences

• Background in finance, retail, or demand forecasting domains

• Experience mentoring junior data scientists or providing technical leadership across projects

• Familiarity with model monitoring, performance drift, and iterative model improvement

• Ability to balance statistical rigor with pragmatic business constraints and timelines