The Business Data Scientist role at Google focuses on applying machine learning to solve complex business challenges within the Global Business Organization. The position involves working with data collection, analysis, and developing actionable recommendations for senior executives. The team is dedicated to building efficient ML models that support small and midsize businesses globally. This role requires a passion for problem-solving using advanced research in applied deep learning and causal inference.

• Master's degree in a quantitative discipline such as Statistics, Engineering, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, including coding in Python, R, or SQL.
• Experience querying databases or performing statistical analysis.

• Design, develop, and validate robust causal inference models to assess the impact of GCS programs.
• Partner with business teams to design and execute A/B tests, including defining sample sizes and success metrics.
• Track the latest academic research in Causal ML and Econometrics to improve impact estimates.
• Translate technical methodologies into clear business narratives for non-technical audiences.
• Establish monitoring systems to track model performance and ensure accuracy of deployed frameworks.

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