Data Scientist, Marketing

Best Buy is seeking a Data Scientist, Marketing to join our growing Data and Analytics team. This role is part of Marketing Analytic Solution team which is responsible for building measurement, forecasting and optimization solutions/ tool for Marketing and Retail Media Networks business teams. In this role, you will develop and deploy a wide variety of scientific solutions to improve the performance of Best Buy's marketing efforts and optimize our customer interactions outcomes. You will leverage deep knowledge of statistical and ML models in solving complex marketing and consumer engagement challenges with creative solutions and cutting-edge data science techniques. Additionally, this role will assist with the technical development of the software and processes needed to bring solutions to life in the corporate environment and for Best Buy stores.

This role is hybrid, which means you will be required to work on site at the Best Buy corporate office in Richfield, Minnesota, on Tuesday, Wednesday and Thursday. The recruiter or hiring manager will provide more details during the hiring process.

This position is not eligible for immigration sponsorship.

Relocation assistance is not available for this role.

What you'll do

• Develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing mix models, marketing attribution models, causal inference models, uplift models, etc.
• Develop forecasting, optimization and simulation algorithms to provide the marketing investment and allocation recommendations to improve return on media spend.
• Create a structured data science plan aligned to marketing priorities, partner with cross-functional teams to gain buy-in and leads hands-on execution to ensure timely and high-quality outcomes.
• Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.
• Develop marketing science models to track return on ad spend by vehicle, message, campaign for BestBuy and Advertisers. Quantify impact on revenue, traffic, customer base, brand love, intent to shop.
• Develop and implement innovative approaches to experimentation and granular campaign measurement to standardize and scale effectiveness measurement. Empower the marketing teams to use these models to measure experimentation success.
• Research market and industry information to compile and synthesize issues and trends relevant to data models. Also recommend and implement improvements to new and existing algorithmic approaches.

• Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.), including 2 years of applied or industry experience; or, the equivalent combination of education and experience.
• 2+ years of experience in marketing data science models like marketing mix models, marketing attribution and advanced statistical techniques.
• 2+ years experience using one or more data science/analytics programming language (e.g., Python, R, SQL)
• 1+ years of experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and operationalization.
• Effectively communicate technical information to technical and non-technical audiences.
• 2+ years of experience in data wrangling, validating data and solutions, supervised and unsupervised models, AI and ML frameworks.

• Master's degree or Ph.D. in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.)
• 5+ years of experience in marketing data science to include modeling and testing, segmentation, measurement, targeting, and optimization with scenario planning.
• 5+ years of experience with marketing mix modeling multi-touch attribution modeling
• 5+ years of experience in retail, consumer packaged goods, pharma, or hi-tech industries
• 5+ years of experience in ad-tech or mar-tech, site analytics and CRM platforms

&l