About the role

• As a Manager
• Pricing and Forecasting Data Scientist at Best Buy Ads, you'll be at the forefront of building and deploying sophisticated data models that drive our retail media network's pricing strategies and inventory forecasting capabilities. This role combines advanced statistical modeling with practical business application, requiring you to create, validate, and productionize models that directly impact revenue optimization. You'll transform complex data into actionable insights, partnering with sales, yield, product, and ad operations teams to enhance decision-making across the advertising ecosystem.

This role is hybrid, with preference for candidates in our Richfield, MN or New York City location. You will work some days in the office and some days virtually from home or another non-Best Buy location.

• What you'll do- Design, develop, and implement advanced pricing models that optimize revenue across onsite and offsite channels, incorporating dynamic pricing strategies based on supply and demand signals.
• Build sophisticated forecasting models to predict inventory availability, demand patterns, and revenue opportunities across display advertising channels.
• Validate and productionize data science models, ensuring scalability, reliability, and continuous improvement through A/B testing and performance monitoring.
• Create and maintain comprehensive business and product metrics that measure advertising performance, yield optimization, and pricing effectiveness.
• Leverage metrics and model outputs to generate actionable insights and recommendations for sales, yield management, product, and ad operations teams.
• Develop automated pipelines using DBT and Google Cloud Platform to ensure models run efficiently and deliver insights in real-time.
• Partner with engineering teams to integrate pricing and forecasting models into production systems and decision-making workflows.
• Partner will product team to provide dashboard requirements and wireframes.
• Lead model documentation, performance tracking, and knowledge sharing to ensure transparency and reproducibility of data science work.
  Basic Qualifications- Master's or PhD in Statistics, Economics, Computer Science, Operations Research, or related quantitative field.
• 5+ years of experience building and deploying data science models in production environments.
• 4+ years of hands-on experience with SQL, Python, and Google Cloud Platform for data analysis and model development.
• 3+ years of experience with DBT or similar data transformation tools for building reliable data pipelines.
• 3+ years of experience in display advertising and retail media networks, with a deep understanding of programmatic advertising ecosystems.
• 3+ years of experience developing dynamic pricing and supply/demand forecasting models specifically in Ad Tech or related industries
• Strong track record of working independently and demonstrating resourcefulness in solving complex technical problems.
  Preferred Qualifications- Experience with dashboard development using Tableau, Looker, or similar visualization tools to communicate model outputs and insights.
• Strong ETL skills with experience building end-to-end data pipelines from raw data to production-ready models.
• Experience with time series forecasting, demand modeling, and price elasticity estimation.
• Familiarity with experimentation frameworks and causal inference methods
• Publications or presentations at industry conferences related to pricing, forecasting, or retail media.
• Experience translating complex statistical concepts into business recommendations for non-technical stakeholders.
• Proven ability to manage multiple projects simultaneously while maintaining high-quality standards.
  What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as needed, especially at key moments in your life.

Our benefits include:

• Competitive pay
• Generous employee discount
• Physical and mental well-being support
  About us
  As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online, and in customers' homes.

Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. ™

Best Buy is an equal opportunity employer.