Product Data Scientist, Gemini in Driving Experience

Google
Seattle; Washington, US
On-site

Job Description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits: 401(k) with company match

Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance

Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

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

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 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.

About the job

Geographic Data Service (GeoDS) Consumer team’s mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. Although an evergreen challenge, this requires a yearly strategic reframing to ensure our team’s work and ambition aligns with top level themes at the Geo level (and beyond) and to guide our investments in growing our data science capabilities. Strategic pillars across GeoDS Consumer provide deep user understanding to inform strategic and product roadmap decisions. Deliver high impact data science/analytics capabilities. Create operational accountability xGeo to deliver key results.

The US base salary range for this full-time position is $138,000-$198,000 + 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

  • Design and implement the core metrics and measurement framework to track Gemini features within Driving Experience, journey toward becoming a daily habit for billions of drivers.
  • Develop query classification methods to identify user needs and friction to inform quality hillclimbing.
  • Conduct deep-dive analysis into the user journey to identify and eliminate friction, improving the conversion from invocation to successful task completion.
  • Partner with Engineering to detect and resolve critical loss patterns—such as query understanding and geospatial accuracy—using advanced classification and evaluation strategies.
  • Provide data-driven guidance on launch decisions and long-term strategy for next-gen capabilities like Proactive Assistance and Gemini Live.

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.

Skills & Requirements

Technical Skills

StatisticsMathematicsData scienceEngineeringPhysicsEconomicsPythonRSqlQuery classificationUser journey analysisFriction eliminationQuery understandingGeospatial accuracyClassificationEvaluation strategiesLaunch decisionsLong-term strategyData-drivenStrategicAnalyticalData scienceFinance

Salary

$138,000 - $198,000

year

Employment Type

FULL TIME

Level

Mid-Level

Posted

5/5/2026

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