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Google Data Science Jobs (NOW HIRING)

AECOM

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

WSP

Intermediate Professional, Data Science

Herndon, VA · On-site

Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other ... scientist/analyst. * Familiarity with business intelligence tools (e.g. Tableau), and big data ...

AECOM

Reporting Data Scientist

Sacramento, CA

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

Google

Senior Research Data Scientist

Mountain View, CA · On-site

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research ... About the job Google is one of the pioneers of modern digital advertising, and the enabler of a ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ...

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Google Data Science information

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$24.5K

$115.9K

$200.5K

How much do google data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for google data science in the United States is $115,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $145,500.00 per year, depending on experience, location, and employer.

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What is a Google Data Science job?

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.

More about Google Data Science jobs
What cities are hiring for Google Data Science jobs? Cities with the most Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Google Data Science jobs? States with the most job openings for Google Data Science jobs include:
What job categories do people searching Google Data Science jobs look for? The top searched job categories for Google Data Science jobs are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,933 per year, or $55.7 per hour.
Senior Product Data Scientist, Education

Senior Product Data Scientist, Education

Google

Mountain View, CA • On-site

Full-time

Posted 3 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
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 issues, 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 issues, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job
Google for Education develops educational products, platforms, and business solutions to support teaching and learning globally by bringing Google technology to students, teachers, and education leaders. In this role, you will help grow these products and platforms.
The Education Data Science team plays a fundamental role in the success of Google for Education, by providing deep understanding of our business and product performance and developing insights to help drive strategic decisions.
As Generative AI continues to evolve and becomes integrated with Workspace Education products, you will contribute to these developments. You will help shape new product experiences and develop innovative ways to evaluate the quality of the content and the user experience.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Build and manage relationships with investigative, engineering, and product leaders in partner product areas (PAs) to align on metric instrumentation, resolve data dependencies, and co-develop analyses that influence shared product roadmaps and resource allocation.
  • Define, own and evolve product/business success metrics. Report, analyze and forecast trends of key product/business metrics and make recommendations to improve them. Lead the design, analysis, and interpretation of product experiments.
  • Apply technical expertise with observational data analysis, modeling, and causal inference to answer the product/business questions.
  • Architect unified data pipelines and single-source-of-truth measurement frameworks by integrating cross-PA data sources to map end-to-end user journeys and evaluate cross-product performance.
  • Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.

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.
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 confer an acquired right.

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