Data Scientist

Best Buy • Richfield, MN

22h • Hybrid

About The Position

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can predominantly work from home but the person who fills this role will must be within a commutable distance to Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA Best Buy is seeking a Data Scientist – Marketing to join our growing Data and Analytics team.In this role, you will develop and deploy 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, these roles 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.

Requirements

• 2 or more year of experience in marketing data science
• Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.)
• 1 or more years’ experience using one or more data science/analytics programming language (e.g., Python, R, Julia)
• Experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and operationalization

Nice To Haves

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

Responsibilities

• Develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc.
• Develop optimization and simulation algorithms to provide the marketing investment and allocation recommendations to improve ROI.
• 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, impact on revenue, brand love, intent to shop, ROI to a vendor for ad campaign, BBY campaign performance and digital attribution.
• Develop and implement innovative approaches to experimentation and rapid and granular campaign measurement to standardize and scale effectiveness measurement.
• Empower the marketing teams to use these models to measure experimentation success.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees