Data Scientist
Core
Lead product shrink and damages forecasting and mitigation efforts through predictive modeling and analytics.
Role type
Senior IC data scientist (forecasting & analytics)
Builds
Productionized predictive models, automated analytics workflows, and dashboards for retail loss prevention.
Domain
Retail / Supply Chain Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
predictive modeling, time-series forecasting, feature engineering, data preparation, SQL, Python, PySpark, distributed compute, geospatial analytics, model deployment
Preferred skills
retail industry experience, Tableau, PowerBI
Technologies
SQL, Python, PySpark, pandas, numpy, scikit-learn, matplotlib, TensorFlow, Databricks, GitLab, Tableau, PowerBI
Responsibilities
Develop dynamic, productionized, and scalable models for forecasting and mitigation; Create automated, reusable analytics workflows from end-to-end; Conduct open-ended ad hoc analysis to determine root causes; Present analytical findings and actionable insights to stakeholders.
Seniority
Mid-Senior, hands-on IC