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Google Data Science Jobs in Boston, MA (NOW HIRING)

Google

Data Scientist

Cambridge, MA · On-site

Master's degree in Statistics, Applied Mathematics, Computer Science, Business Analytics, Economics ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

New

Saviance

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

... Google Cloud Platform. • Experience with automation processes for repetitive tasks and high ... in data science. • Hands-on experience in commercial settings with a proven track record of ...

SharkNinja

Data Scientist

Needham, MA

Bachelor's or Master's degree in Data Science, Supply Chain Management, Operations Research ... AWS, Google Cloud). * Familiarity with machine learning frameworks and predictive modeling.

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Everything you would expect on a world-class data science team solving world-class problems. Big ... Familiarity with SQL, Relational databases, and cloud environments like AWS/Azure/Google/Databricks

Socket.dev

Principal Data Scientist

Cambridge, MA · On-site

$119 - $237/hr

PROFESSIONAL EXPERIENCE & QUALIFICATIONS * 8+ years of data science, machine learning, statistics ... Deep familiarity with advertising platform data and APIs, including Meta, Google, TikTok, LinkedIn ...

SharkNinja

Data Scientist

Needham, MA · On-site

Bachelor's or Master's degree in Data Science, Supply Chain Management, Operations Research ... AWS, Google Cloud). * Familiarity with machine learning frameworks and predictive modeling.

Publicis Groupe Holdings B.V

Data Scientist

Boston, MA · On-site

$123K - $129K/yr

Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing ... Google Cloud platforms for data engineering and data cleansing techniques to ensure quality. 4. ...

Publicis Groupe Holdings B.V

Data Scientist

Boston, MA · Hybrid

$123K - $129K/yr

Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing ... Google Cloud platforms for data engineering and data cleansing techniques to ensure quality.4. ...

Publicis Groupe Holdings B.V

Lead Data Scientist

Boston, MA · On-site

$112K - $172K/yr

We're looking for rigorous analytic training and 7+ years professional experience in a data science ... Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or ...

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$26.2K

$124.1K

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How much do google data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for google data science in Boston, MA is $124,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,217.00 and $155,758.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are popular job titles related to Google Data Science jobs in Boston, MA?

For Google Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Boston, MA look for?

The top searched job categories for Google Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Google Data Science jobs?

Cities near Boston, MA with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,107 per year, or $59.7 per hour.

Data Scientist

Google

Cambridge, MA • On-site

Full-time

Posted yesterday

New

Key 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.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
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