Business Data Scientist, Product Services Analytics

Google is a global technology leader that specializes in internet-related services and products.
$127,000 - $187,000
Data
Mid-Level Software Engineer
In-Person
5000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Business Data Scientist, Product Services Analytics

Google is seeking a Business Data Scientist for their Product Services Analytics team. This 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. As a Business Data Scientist, you will 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, and oversee the technical execution and business operations of Google's partnerships. The ideal candidate should have strong analytical skills, experience in data science and coding, and the ability to communicate insights effectively to both technical and non-technical audiences. This position offers a competitive salary range of $127,000-$187,000 plus bonus, equity, and benefits. The role requires a Master's degree in a quantitative discipline and at least 3 years of relevant experience. Key responsibilities include translating business problems into solutions, providing technical mentorship, creating scalable solutions, and collaborating with product and engineering teams. Google is committed to diversity, equality, and inclusion in its hiring practices.

Last updated 3 days 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

Equity
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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