A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
2944532980-2 Apply for this job now Job Description Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you'll lead advanced analytics, experimentation, and machine learning projects that optimize store operations, pricing, and customer experience. You'll partner with cross-functional teams to turn complex data into clear insights, build predictive models, and guide data strategy. You will mentor other data scientists, champion data quality and governance, and help scale analytics capabilities that support sustainable growth, ethical sourcing, and our values-driven mission. Responsibilities Lead end-to-end analytics and machine learning projects from problem framing to deployment and measurement Develop predictive and prescriptive models to optimize customer experience, operations, and pricing Design and analyze experiments and A/B tests to evaluate initiatives and inform strategy Collaborate with product, operations, marketing, and finance teams to translate business needs into data solutions Build dashboards and visualizations that communicate complex insights clearly to non-technical stakeholders Ensure data quality, governance, and reproducibility across analytics workflows Mentor and guide junior data scientists and analysts, sharing best practices and standards Contribute to the long-term data and analytics strategy, tooling, and model lifecycle management Required Skills Python RSQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) Data wrangling and ETLBig data tools (Spark/Hadoop)
