Senior Data Scientist, Google Maps Growth

Socket.dev; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Socket.dev in Mountain View, CA seeks a Geo Consumer Data Scientist to drive data-driven decisions across product teams. You will own measurement, experimentation, and analyses to uncover trends and guide product strategy in a geospatial context.

Applicants should have Bachelor’s in a quantitative field, with 8+ years analytics experience (or 5+ years with a Master’s). The role offers strong growth, equity, and benefits.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Engineering, Physics, Economics).
• Master's degree preferred; 8 years analytics experience or 5 years with a master's degree.

Responsibilities

• Lead Product Data Science for Reach Growth with cross-functional teams and measurement frameworks.
• Quantify opportunities to optimize geospatial user journeys via logs analyses and experiments.
• Model cross-Product Area user journeys and analyze engagement dynamics to align strategy.
• Define and implement metrics frameworks and present insights at executive reviews.

Education

Bachelor's degree

Master's degree

Job description

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.

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

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.