Senior Data Scientist, AI Subscriptions

Google; San Francisco (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

15% bonus target

Equity

Benefits

Job summary

Google San Francisco seeks a Senior Product Data Scientist to drive growth for Google One AI Plus, Pro and Ultra subscriptions. You will deliver insights at the intersection of Product, Engineering, and Finance to unlock higher engagement and revenue.

You will own analytics infrastructure, partner with PMs and engineers to enable experimentation, and turn data into actionable business decisions that move the needle for subscriptions growth.

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• 8 years of analytics experience or 5 years with a Master's degree.
• Strong coding skills in Python, R, and SQL.

Responsibilities

• Perform analysis to solve product and business problems and provide actionable insights.
• Report KPIs to leadership and translate analytics into business opportunities.
• Collaborate with PM and Engineering to enable analytics infrastructure and experimentation.
• Identify complex problems and propose data-driven solutions to improve product and user experience.
• Act as product owner to shape investment and roadmap decisions.

Skills

Analytics experience

Statistical analysis

Coding: Python, R, SQL

Education

Bachelor's degree in Statistics/Math/Data Science/Engineering/Physics/Economics

Master's degree (preferred)

Tools

Python

R

SQL

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

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

Minimum qualifications:

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

About The Job

The Strategy and Analytics team for Google One acts as a critical partner to our leadership, enabling better business and product decisions, accelerating execution, and delivering insights to drive subscriptions growth. We drive growth in Google’s flagship AI Plus, Pro and Ultra subscriptions, anchored in storage and AI-powered experiences, that unlock the best of Google.

As a Senior Product Data Scientist, you will have a strong product, business, and analytical judgment to drive growth in our Google AI Plus, Pro, and Ultra subscriptions. Operating at the intersection of Product, Engineering, Finance and other cross-product area/cross-functional partners, you deliver the key insights needed to drive subscribers, AI product engagement, and business/margin growth for this critical product.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Perform analysis utilizing relevant tools. Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
• 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.
• Partner closely with PM and Engineering to deliver robust analytics/experimentation infrastructure and processes that deliver insights and decision-making at scale for Google One AI subscriptions growth and its XPA partners.
• Identify complex business problems and come up with analytical solutions that improve our product and user experience.
• Act as a product owner in partnership with stakeholders within the organization and cross-functional teams to create business cases for new investment, initiate changes in the product roadmap, and drive prioritization decisions.

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 .