Hybrid Data Scientist — Analytics, SQL, Python, Equity

Google

Cambridge (MA)

Hybrid

USD 163,000 - 237,000

Full time

9 days ago
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Job summary

Google Cambridge, MA is seeking a Data Scientist to drive analysis and decision support across product and business teams. The role requires a Master’s degree in a related field and 2 years of experience in data extraction, statistical modeling, and translating business problems into analytical frameworks.

You will use SQL, Python, and R to build scalable analytics, collaborate with stakeholders, and define KPIs for senior leadership reviews.

Qualifications

  • Master’s degree in Statistics, Applied Mathematics, Computer Science, Business Analytics, Economics or a related field, and 2 years of experience in the job offered or in a Data Scientist-related occupation.

Responsibilities

  • Conduct end-to-end analysis using SQL, R, or Python to solve ambiguous business problems and guide decision-making.
  • Influence long-term product development strategies by providing analytical recommendations to leadership and key partner organizations.
  • Collaborate with stakeholders to define business questions, develop analytical roadmaps, and identify optimal methodologies and data requirements.
  • Define and report on Key Performance Indicators for business reviews, translating complex analytical results into actionable product improvement opportunities.
  • Build and prototype new analytical processes, models, and business cases iteratively to provide scalable insights and address data infrastructure needs.

Skills

Data extraction
Statistical analysis
Python/R
Communication

Education

Master's degree in Statistics/Applied Math/CS/Analytics/Economics

Tools

SQL
Python
R

Job description

Google Cambridge, MA is seeking a Data Scientist to drive analysis and decision support across product and business teams. The role requires a Master’s degree in a related field and 2 years of experience in data extraction, statistical modeling, and translating business problems into analytical frameworks.

You will use SQL, Python, and R to build scalable analytics, collaborate with stakeholders, and define KPIs for senior leadership reviews.

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