Best Buy is looking to solve the business problem of delivering innovative, personalized, and accessible tech solutions to meet the diverse needs of customers. Specifically, the Senior Data Scientist role aims to enhance the company's advertising ecosystem by leveraging data science to drive impactful insights and improve customer experiences.
Requirements
- Minimum of four years of experience in data science roles focused on advertising, marketing analytics, or client measurement.
- At least two years of experience in experimental design, statistical modeling, and causal inference.
- Proficiency in Python or R, along with SQL, with at least one year of experience in developing code that supports both analytical rigor and scalable data workflows.
- Experience working within cloud-based data environments such as GCP, AWS, or Azure.
- Conceptual understanding of cloud infrastructure’s role in scalable analytics.
- At least two years of experience leading data-driven projects and influencing cross-functional teams.
Responsibilities
- Lead analytics projects focused on ad performance, client measurement, and experimentation to derive actionable insights.
- Design, oversee, and analyze experiments to evaluate product impact and optimize advertising outcomes.
- Develop forecasting models and apply Bayesian frameworks to support strategic and operational decisions.
- Create and maintain scalable data pipelines and reporting tools across cloud platforms to ensure efficient data processing and accessibility.
- Communicate complex insights through clear, compelling visualizations tailored to both technical and non-technical audiences.
- Mentor junior data scientists, fostering a culture of technical excellence and continuous learning within the team.
Other
- Bachelor’s degree in Statistics, Computer Science, or a related field is required; an advanced degree is preferred.
- Ability to translate complex concepts into actionable strategies.
- Collaboration across various teams to deliver impactful insights.
- Mentoring junior data scientists and fostering a culture of continuous learning.
- Working in a collaborative environment that values innovation and personal growth.
