Data Scientist

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

Job summary

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions and tools that help developers build more sustainably, with the Cambridge, MA office supporting a hybrid work model.

We seek a Data Scientist who can drive end-to-end analyses, translate business questions into analytical roadmaps, and present findings to leadership to influence strategic decisions.

Qualifications

• Master's degree in related field and 2 years of data science experience.
• Experience with data extraction, cleaning, and validation using a query language.
• Experience with statistical analysis and modeling in Python or R; ability to translate business problems into structured analytical frameworks.

Responsibilities

• Conduct end-to-end analysis using SQL, R, or Python to solve ambiguous business problems.
• Influence long-term product development strategies by providing analytical recommendations to leadership.
• Collaborate with stakeholders to define business questions, develop analytical roadmaps, and identify data requirements.
• Define and report on KPI metrics for business reviews, translating results into actionable product improvements.
• Build and prototype new analytical processes, models, and business cases to provide scalable insights.

Skills

Data extraction

Python

R

SQL

Statistics

Problem solving

Education

Master's degree in Statistics, Applied Mathematics, Computer Science, Business Analytics, Economics or related field

Tools

Python

R

Job description

corporate_fare Google place Cambridge, MA, USA

Mid

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

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• 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 organizations 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not convey an acquired right.