The Business and Marketing Data Scientist role at Google focuses on developing and delivering machine learning and predictive analytics solutions for Sales and Marketing teams. This position involves close collaboration with Engineering, Product, and Finance teams to enhance operational effectiveness across the customer journey. The role aims to build recommendation engines and impact measurement tools that drive business growth for small and mid-sized businesses. As part of the Google Customer Solutions team, you will leverage data to provide insights that shape long-term strategies and immediate operations.

• Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding in Python, R, or SQL, and querying databases.
• Experience in driving a project from an experimental idea to a launched product feature.
• Experience in cross-functional collaboration with engineering and product teams.

• Build efficient and scalable Machine Learning models to help small and mid-size businesses grow.
• Solve real-world problems using the latest research in deep learning and natural language processing.
• Work with product teams to understand their objectives, requirements, and key metrics.
• Propose, build, evaluate, and debug machine learning models and algorithms.
• Integrate pipelines, models, and predictions into production serving systems.

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