Senior Data Scientist, Product Data and Machine Learning
Description For Senior Data Scientist, Product Data and Machine Learning
Google is seeking a Senior Data Scientist to join their Product Data and Machine Learning team. This role is crucial in supporting Google's massive user base of over a billion people by providing quantitative insights and strategic perspectives. The position combines data analysis, machine learning, and business strategy to optimize operational efficiency within Corporate Engineering.
The ideal candidate will be responsible for developing data-leveraged solutions, building ML models, and working with generative AI. They will collaborate closely with Engineering and Product Management teams to drive data-driven decision-making and improvements. The role requires expertise in statistical analysis, data mining, and project management, with a strong focus on ML pipeline development and implementation.
As a Data Scientist at Google, you'll have the opportunity to work on complex problems, develop comprehensive analytics solutions, and directly impact how Google's internal teams operate. The position offers the chance to work with cutting-edge technology and contribute to Google's mission of organizing the world's information.
The role combines technical expertise with business acumen, requiring someone who can both analyze complex data and communicate findings effectively to stakeholders. You'll be part of a team that drives awareness about data management and AI/ML solutions throughout the organization, making this an excellent opportunity for someone passionate about both data science and business impact.
Responsibilities For Senior Data Scientist, Product Data and Machine Learning
- Perform analysis utilizing tools (e.g., SQL, R, Python), help solve problems, narrow down multiple options into the approach, and take ownership of open-ended ambiguous business problems
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team
- Build and prototype analysis and business cases to provide insights, develop comprehensive knowledge of Google data structures and metrics
- Design and develop machine learning models to solve problems within the Enterprise Support space
- Collaborate with Engineering teams to identify and address instrumentation gaps, ensure accurate data collection for functionalities
Requirements For Senior Data Scientist, Product Data and Machine Learning
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
- 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
- 3 years of experience in managing projects
- Experience with the full Machine Learning (ML) product lifecycle
- Experience in building production Machine Learning (ML) pipelines
- Experience applying Machine Learning (ML) and advanced analytics solutions to enterprise operations teams
