Senior Data Scientist, Product, Customer Engagement

Google is a global technology company that specializes in internet-related services and products.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Senior Data Scientist, Product, Customer Engagement

Google is seeking a Senior Data Scientist to join their Product Customer Engagement team in Hyderabad. This role combines technical expertise in data analysis with business strategy, requiring 5 years of experience in statistical analysis and coding. The position involves working with large datasets to shape Google's business and technical strategies, from enhancing advertising efficacy to network infrastructure optimization.

The ideal candidate will have a Master's degree in a quantitative field and extensive experience with tools like Python, R, and SQL. They will be responsible for performing complex data analysis, developing metrics, creating visualization dashboards, and working closely with cross-functional teams including Engineers, Product Managers, and UX designers.

This role offers the opportunity to work at one of the world's leading tech companies, solving challenging problems that impact billions of users. The position requires both technical excellence and business acumen, as you'll be responsible for not just analyzing data but also translating findings into actionable business recommendations.

Working at Google means being part of a company that values diversity, equality, and inclusion. The role offers the chance to work with cutting-edge technology and data infrastructure, while collaborating with some of the brightest minds in the industry. You'll have the opportunity to influence product decisions through data-driven insights and help shape the future of Google's customer engagement strategies.

The position requires strong leadership skills as you'll be managing complex projects, mentoring team members, and presenting findings to executive leadership. You'll need to be comfortable working in an environment where problems are often ambiguous and require innovative solutions. This is an excellent opportunity for someone who combines strong analytical skills with business acumen and wants to make a significant impact at a global scale.

Last updated 8 days ago

Responsibilities For Senior Data Scientist, Product, Customer Engagement

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python)
  • Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models
  • Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent
  • Build an understanding of the data sets used by Customer Engagement and partner teams
  • Build data aggregation and analysis pipelines, design new metrics, and create dashboards and visualizations

Requirements For Senior Data Scientist, Product, Customer Engagement

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)
  • 5 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
  • Experience in developing and managing metrics or evaluating programs/products
  • 5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS) in a matrixed organization
  • 3 years of experience preparing and delivering technical presentations to executive leadership
  • Experience working with Engineers, Product Managers, and UX especially around providing product-centric insights
  • Track record of solving unstructured business problems with data science

Benefits For Senior Data Scientist, Product, Customer Engagement

Medical Insurance
Visa Sponsorship
  • Equal opportunity employer
  • Accommodation for special needs

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