The Business and Marketing Data Scientist role at Google focuses on developing and delivering machine learning and predictive analytics solutions for Sales and Marketing stakeholders. The position involves close collaboration with Engineering, Product, and Finance teams to build recommendation engines and impact measurement tools. The team aims to enhance operational effectiveness across the customer journey for small and medium-sized businesses. This role offers the opportunity to make a significant impact on business growth through data-driven insights and innovative solutions.

• 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 or statistical analysis.
• PhD in Computer Science or Engineering, or a related field is preferred.
• 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, product requirements, constraints, 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.