Senior Data Scientist, Google Maps Growth

Google

Mountain View (CA)

Hybrid

USD 163,000 - 236,000

Full time

14 days+

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Job summary

Google is seeking a Senior Data Scientist for Geo Consumer to lead Product Data Science for Reach Growth, partnering with cross-functional teams to drive data-driven decisions.

You will define measurement frameworks, conduct experiments, and investigate trends to steer product strategy; optimize geospatial user journeys; build metrics ecosystems and present insights at executive reviews.

Qualifications

  • Bachelor's degree in a quantitative field is required.
  • 8 years analytics experience (or 5 years with a Master's) and coding in Python/R/SQL.
  • Proficiency in Python, R, and SQL.

Responsibilities

  • Lead Product Data Science for Reach Growth with cross-functional teams, enforcing measurement frameworks, owning experimentation, and investigating trends to steer product strategy.
  • Identify and quantify opportunities to optimize geospatial user journeys across entry points and channels by logs-based analyses, running experiments, and influencing stakeholders.
  • Model cross-Product Area user journeys and analyze evolving engagement dynamics to close gaps in strategy across Google.
  • Define and implement success metrics frameworks to enable cross-Product decision-making and present metrics at executive reviews.

Skills

Analytics experience
Statistical analysis
Python
R
SQL

Education

Bachelor's degree in statistics, mathematics, data science, engineering, physics, economics, or related quantitative field
Master's degree in statistics, mathematics, data science, engineering, physics, economics, or related quantitative field

Tools

Python
R
SQL

Job description

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.

Minimum qualifications
  • Bachelor'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) (or 5 years work 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

Geo Consumer Data Scientists mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. We partner closely across all functions to ensure that the teams work and ambition aligns with themes at the Geo level and to guide our investments in growing our data science capabilities.

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

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

Learn more about benefits at Google.

Responsibilities
  • Lead Product Data Science for Reach Growth as a counterpart to a cross-functional team, enforcing measurement frameworks, owning experimentation, and conducting in-depth investigations to understand trends and steer product strategy.
  • Identify and quantify opportunities to optimize key geospatial user journeys across entry points and ingress channels by performing logs-based analyses across data sources, running experiments, and influencing stakeholders.
  • Model cross-Product Area user journeys and conduct analyses on evolving engagement dynamics to eliminate gaps in strategy across Google.
  • Define and implement success metrics frameworks to enable cross-Product Area decision-making and measure the impact of new growth integrations. Present metrics and insights at executive reviews.

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.

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