Data Scientist

Google; Cambridge (MA); Hybrid; USD 163,000 - 237,000; Full time

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

Data Scientist

Google Cambridge, MA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum 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.
• Position requires 2 years of experience in the following: Data extraction, manipulation, cleaning, and validation using a query language; Statistical analysis and modeling using a programming language such as Python or R); Translating open-ended business problems into structured analytical frameworks and synthesizing data to create strategic action plans; Defining and rationalizing metrics to measure business outcomes; and Communicating and presenting analytical findings to influence stakeholder decisions and senior leadership.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $163,000 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Cambridge, MA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Conduct end-to-end analysis using tools like 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 advocate for data infrastructure improvements. Oversee data gathering processes and review analyses from team members to ensure data quality, provide expert feedback, and address analytical challenges.

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