Senior Data Scientist, Product, Google Photos

1 Month ago • 5-8 Years • Data Analyst • $156,000 PA - $229,000 PA

Job Summary

Job Description

The Senior Data Scientist, Product, Google Photos role involves using analytics to solve product or business problems, performing statistical analysis, and coding (Python, R, SQL) to improve the Google Photos user experience. Responsibilities include performing analysis, building new processes, reporting KPIs, translating analysis into actionable insights, building business cases, understanding Google's data structures, and influencing cross-functional teams. The focus is on user engagement and retention, collaborating with engineers and product managers to drive product decisions. The role requires expertise in statistical data analysis, modeling, experimentation, and causal inference. This data-driven role significantly impacts product improvements and user experience within Google's vast user base.
Must have:
  • Bachelor's degree in quantitative field
  • 8 years of experience in analytics
  • Proficiency in Python, R, SQL
  • Statistical analysis & modeling
  • Experience in product improvement
Good to have:
  • Master's degree in quantitative field
  • Experience with growth experimentation
  • Causal inference for product solutions
  • Solving unstructured business problems
  • Excellent communication skills
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

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

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • 5 years of experience in statistical data analysis, modeling, experimentation, causal inference for product/business solutions.
  • Experience solving unstructured business problems using data science.
  • Experience with growth experimentation.
  • Excellent communication skills.

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.

As a Data Scientist at Google Photos, you will place work on product improvements, collaborating with engineers and product managers to drive product decisions.

You will develop an understanding of the Google Photos product, data and our users! you will take business problems and hypotheses and come up with solutions that improve our product and user experience.

You will focus on the Engagement side of our business, making sure that users are enjoying our features enough to be retained long into the future.

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 .

Responsibilities

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of business problems to reach an optimal solution.
  • 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. 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.

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