Senior Data Scientist, Product Ecosystem Analysis

Google; Mountain View (CA); On-site; USD 156,000 - 229,000; Full time

Job summary

A leading technology company is seeking a Senior Data Scientist for Product Ecosystem Analysis. The role requires a deep understanding of data, strong analytical skills, and the ability to communicate insights effectively. Candidates should have substantial analytical experience and a relevant educational background. This full-time position is pivotal in helping shape strategic decisions that impact the company’s direction.

Qualifications

• Experience solving product/business problems with analytics.
• 8 years using analytics (or 5 years with Master's).
• Experience in Online Publisher/Media ecosystem.

Responsibilities

• Solve ambiguous business problems and provide optimal solutions.
• Build new processes and methods to address future issues.
• Report on KPIs and translate analysis to insights.

Skills

Analytical Skills

Statistical Analysis

Problem Solving

Communication

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics

Tools

Python

R

SQL

Job description

Senior Data Scientist, Product Ecosystem Analysis

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Senior Data Scientist, Product Ecosystem Analysis

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience in the Online Publisher/Media, Internet Content Platform Ecosystem space.
  
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
  

About The Job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Applied Research and Strategy is responsible for horizontal analysis and methodology development for DS impact and informs Knowledge and Informations strategic decisions. The team drives strategic insights for Knowledge and Informations leaders across external landscape, growth and long term. The team develops cross-Knowledge and Informations data science strategies and approaches, creates cross-product metrics, and ensures data quality on new methodologies and tools to enable insights.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Help solve problems, take ownership of open-ended ambiguous business problems to reach an optimal solution, and perform analysis utilizing tools (e.g., SQL, R, Python).
• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
• Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team, and translate analysis results to business insights or product improvement opportunities.
• Build and prototype analysis and business cases to provide insights, develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
• Influence across teams to align resources and direction.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management and Engineering

• Industries

  Information Services and Technology, Information and Internet

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