Business Data Scientist, Product Services Analytics

Google is a global technology company known for its search engine and various internet-related services and products.
$127,000 - $187,000
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
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Description For Business Data Scientist, Product Services Analytics

Business Data Scientists at Google are passionate about data science, technology, and making an impact. They focus on technical operations and solutions, working at the intersection of sales, products, and customers. In this role, you'll balance business and product needs with technical constraints, develop innovative solutions, and act as a partner and consultant. You'll build tools to automate product analysis and insights, oversee technical execution and business operations of Google's partnerships, and bridge the gap between business needs and data insights.

The role is part of gTech Users and Products (gUP), whose mission is to advocate for Google's users by creating helpful and trusted experiences across the product ecosystem. This is achieved by meeting partners and consumers where they are with support and help, representing their needs with product partners, and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem.

As a Business Data Scientist, you will:

  • Translate business problems into problem-solving solutions and insights
  • Provide technical mentorship in delivering project work
  • Create and implement reusable and scalable solutions
  • Work closely with product and engineering teams to analyze impact on metrics
  • Collaborate with engineering teams to write complex code and implement tools

This position offers a competitive salary range, bonus, equity, and benefits. Google is committed to building a diverse and inclusive workforce, providing equal employment opportunities regardless of background.

Last updated 6 months ago

Responsibilities For Business Data Scientist, Product Services Analytics

  • Translate business problems into problem-solving solutions and insights
  • Provide technical mentorship in delivering project work, including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models
  • Create and implement reusable and scalable solutions within the team's development process
  • Work closely with product and engineering teams to analyze the impact on product or Google-wide metrics
  • Collaborate with engineering teams to write complex code and implement tools to improve troubleshooting efficiency and the end-user experience

Requirements For Business Data Scientist, Product Services Analytics

Python
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree

Benefits For Business Data Scientist, Product Services Analytics

  • bonus
  • equity
  • benefits

Interested in this job?