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 in Hyderabad. This role combines advanced analytics, machine learning, and business intelligence to optimize operational efficiency across Google's Corporate Engineering organization. The ideal candidate will have extensive experience in statistical analysis, ML model development, and project management.
The position offers an opportunity to impact Google's billion-plus user base by providing data-driven insights and solutions. You'll work at the intersection of data science and machine learning, developing and deploying ML models, particularly in the enterprise support space. The role involves close collaboration with Engineering teams and leadership, requiring both technical expertise and strong communication skills.
Key responsibilities include performing complex data analysis, building ML pipelines, reporting on KPIs, and developing business cases based on data insights. You'll need to be comfortable with tools like SQL, Python, and R, and have experience with the full ML product lifecycle from ideation to production.
The role requires a Master's degree in a quantitative field and significant experience in statistical analysis and project management. You'll be joining a company known for its innovative culture and global impact, working on projects that directly influence how Google's internal teams operate and serve users worldwide.
This is an excellent opportunity for a seasoned data scientist who wants to work with cutting-edge technology, including generative AI, while having a meaningful impact on one of the world's leading technology companies. You'll be part of a team that drives data awareness and optimization across the organization, making critical recommendations that shape product development and business strategies.
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
- Work alongside Machine Learning Engineering teams to test and deploy generative AI models
- 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
- 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS)
- 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
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