Data Scientist

Quick Facts

• Focus: Apply data science to business problems impacting demand forecasting, inventory planning, and pricing/promotion decisions

Description

Join the Data, Analytics & Customer Insights organization and apply data science to business problems that influence how Lowe’s forecasts demand, plans inventory, and makes pricing and promotion decisions. Support data science initiatives across Merchandising and Supply Chain Intelligence, including Pricing & Promotion Analytics and the Lowe’s Forecasting Platform. Partner with Product, Engineering, Analytics, and Business teams to build, validate, and translate models and insights that drive demand forecasting, pricing decisions, measurement, inventory planning, and merchant-facing technology products.

What You’ll Do

• Build models that influence forecasting, pricing, promotions, and supply chain decisions
• Develop and improve predictive models, forecasting engines, and machine learning capabilities for the Lowe’s Forecasting Platform and key merchandising retail strategies
• Turn complex pricing questions into measurable insights using statistical modeling, causal inference, and experimentation
• Apply techniques to demand modeling, price recommendations, measurement, halo/cannibalization, and test-and-learn initiatives
• Work with large-scale retail data
• Use SQL, Python, Spark/PySpark, and cloud platforms to prepare reusable datasets, validation checks, and model-ready features
• Translate business challenges into data science solutions; define model requirements, success metrics, and production-ready approaches
• Evaluate model performance, forecast variance, assumptions, limitations, explainability, and adoption risks
• Communicate recommendations to technical and non-technical audiences via dashboards, validation summaries, documentation, and decision-support materials

Required Qualifications

• Bachelor’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field, or equivalent years of experience in lieu of education
• 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions (preferably in a large-scale enterprise setting)
• 1 year of SQL and programming experience (fewer years may be accepted with a master’s or doctorate)

Preferred Qualifications

• 2 years of experience with forecasting, demand planning, pricing, promotions, merchandising, retail, or supply chain analytics
• 2 years of experience with statistical modeling, causal inference, experimentation, predictive analytics, or prescriptive analytics in a large-scale enterprise environment
• 2 years of experience using SQL, Python, Spark/PySpark, cloud platforms, or ML workflow tools such as GCP, Vertex AI, MLflow, AWS, or Azure
• Experience partnering with cross-functional teams to translate model outputs into business recommendations, documentation, validation artifacts, or production requirements

Benefits

• Pay Range: $75,300.00 - $143,100.00 annually (starting rate varies based on position, location, education, training, and/or experience)
• Benefit program details and eligibility: https://talent.lowes.com/us/en/benefits