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Über
As a Senior Data Scientist, you will lead high-impact analytics initiatives within our Ads Analytics team. In this manager-level role, you'll guide technical execution, mentor data scientists, and collaborate across teams to deliver insights that shape our advertising ecosystem. You'll dive deep into experimental design, predictive modeling, and Bayesian statisticswhile also helping build scalable analytics infrastructure and AI-powered tools. If you love solving complex problems and translating data into clear, actionable strategies, this is the role for you. What You'll Do Lead analytics projects focused on ad performance, client measurement, and experimentation. Design and oversee experiments to evaluate product impact and optimize advertising outcomes. Build forecasting models and apply Bayesian frameworks to support strategic decisions. Develop scalable data pipelines and reporting tools across cloud platforms. Communicate insights through clear, compelling visualizations for technical and non-technical audiences. Mentor junior data scientists and foster technical excellence across the team. Basic qualifications 4+ years of experience in data science roles focused on advertising, marketing analytics, or client measurement, with a strong ability to connect data insights to business strategy. 2+ years of experience in experimental design, statistical modeling, and causal inference, with a conceptual understanding of how these methods support decision-making and business impact. Proficient in Python or R and SQL, with 1+ years of experience writing code that supports both analytical rigor and scalable data workflows. 1+ year of experience working within cloud-based data environments (e.g., GCP, AWS, Azure), with a conceptual understanding of cloud infrastructure and its role in scalable analytics. 2+ years of experience leading data-driven projects, influencing cross-functional teams, and translating complex concepts into actionable strategies. Bachelor's Degree in Statistics, Computer Science or a related field Preferred qualifications Advanced degree in Statistics, Computer Science, or a related field. Experience in ad tech or client-facing analytics. Familiarity with AI/ML tools and their business applications. What's in it for you 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 lifein 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.
Wünschenswerte Fähigkeiten
- Bayesian Statistics
- Experimental Design
- Predictive Modeling
- Python
- R
- SQL
Berufserfahrung
- Data Engineer
- Machine Learning
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.