Data Scientist

What you'll do

• Develop predictive models, forecasting engines, and machine learning capabilities for merchandising and supply chain decisions.
• Apply statistical modeling, causal inference, and experimentation to pricing, demand, and promotion questions.
• Prepare and validate data, assess model performance, and communicate actionable findings to cross-functional teams.

What they ask for

• Bachelor’s degree in a quantitative analytic field or equivalent years of experience in lieu of education requirement, if applicable.
• 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions; fewer years may be accepted with a master’s or doctorate degree.
• 1 year of SQL and programming experience; fewer years may be accepted with a master’s or doctorate degree.

Nice to have

• 2 years of experience in forecasting, demand planning, pricing, promotions, merchandising, retail, or supply chain analytics.
• Experience with statistical modeling, causal inference, experimentation, predictive or prescriptive analytics, cloud platforms, ML workflow tools, or cross-functional business communication.

Tools

SQL, Python, Spark/PySpark, GCP, Vertex AI, MLflow, AWS, Azure

AI focus

Executes and deploys machine learning, deep learning, and generative AI solutions; develops predictive models and forecasting capabilities.