The Business Data Scientist role focuses on driving consumer app and subscription growth at Google. This position involves working with large datasets to derive insights and make data-driven recommendations. The team collaborates closely with product engineering and marketing to enhance consumer relationships and optimize product offerings. Candidates will leverage their analytical skills to solve complex business problems and communicate findings to senior executives.

• Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, including coding in Python, R, or SQL.
• Experience building and deploying machine learning models, particularly in recommendation engines or customer segmentation.

• Work with large, complex data sets and apply advanced analytical methods to conduct analysis.
• Design and analyze controlled experiments or causal inference studies to evaluate marketing program impacts.
• Make business recommendations through effective presentations of findings to stakeholders.
• Develop and automate reports and dashboards to provide insights at scale.
• Build and prototype analysis pipelines to deliver insights and advocate for necessary changes in data structures.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.