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Senior Data Scientist, Product Data and Machine Learning

Google is a global technology company serving over a billion users worldwide with various internet-related services and products.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
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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 with machine learning to optimize operational efficiency across Google's Corporate Engineering organization. The ideal candidate will have extensive experience in statistical analysis, data mining, and managing analytical projects.

The position offers an opportunity to work with Google's massive user base of over a billion people, where you'll serve as an analytics expert providing quantitative support and strategic insights. You'll be responsible for developing data-leveraged solutions, building ML models, and working with generative AI technologies to enhance enterprise support systems.

Key aspects of the role include performing complex data analysis, reporting on KPIs, building prototypes, and collaborating with Engineering teams to ensure accurate data collection. You'll work at the intersection of data science and machine learning, helping teams make better decisions through data-driven insights.

The role requires a Master's degree in a quantitative field and significant experience with statistical analysis and data mining. You'll need proficiency in tools like SQL, R, and Python, along with experience in managing analytical projects and working with ML pipelines.

This is an excellent opportunity for a seasoned data scientist who wants to make a significant impact at one of the world's leading technology companies. You'll be part of a team that drives awareness about effective data management and deploys AI/ML solutions while working with cutting-edge technology and talented professionals in a collaborative environment.

Last updated 8 months ago

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 best approach
  • 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
  • Design and develop machine learning models to solve problems within the Enterprise Support space
  • Collaborate with Engineering teams to identify and address instrumentation gaps

Requirements For Senior Data Scientist, Product Data and Machine Learning

Python
  • 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 managing analytical projects
  • Experience with scripting, statistical analysis (R, Stata, SPSS, SAS)
  • Experience with the full ML product lifecycle
  • Experience building production ML pipelines
  • Experience applying ML and advanced analytics solutions to enterprise operations teams

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