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Data Scientist Google Jobs (NOW HIRING)

Google

Data Scientist

San Bruno, CA · On-site

D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations ... Learn more about benefits at Google. Position reports to the Google San Bruno, CA office & may ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications Minimum Experience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

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How much do data scientist google jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data scientist google in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

How much do data scientists make at Google?

Data scientists at Google typically earn a base salary ranging from $120,000 to $180,000 per year, with total compensation often exceeding $200,000 when including bonuses and stock options. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis being highly valued.

How do Data Scientists at Google typically collaborate with cross-functional teams to deliver impactful projects?

At Google, Data Scientists frequently work alongside engineers, product managers, UX researchers, and business analysts to translate complex data insights into actionable product improvements. Collaboration often involves regular meetings to align on project goals, brainstorming sessions to identify potential data-driven solutions, and iterative feedback cycles to refine models or analyses. Open communication and a collaborative mindset are key, as Data Scientists are expected to clearly articulate findings to both technical and non-technical stakeholders, ensuring their work drives meaningful business outcomes.

What are the key skills and qualifications needed to thrive as a Data Scientist at Google, and why are they important?

To thrive as a Data Scientist at Google, you need strong expertise in statistics, machine learning, data analysis, and a relevant degree such as computer science or mathematics. Familiarity with programming languages like Python or R, experience with big data tools (e.g., TensorFlow, SQL, Hadoop), and possibly certifications in data science platforms are typically required. Excellent problem-solving, communication, and collaboration skills help you translate data insights into impactful business solutions. These skills ensure you can extract meaningful insights from complex data and drive innovation in a fast-paced, data-driven environment.

Can a data scientist get a job in Google?

Yes, data scientists can get jobs at Google, which regularly hires for data science roles requiring skills in machine learning, statistical analysis, and programming languages like Python and SQL. Candidates typically need a strong educational background, relevant experience, and proficiency with data analysis tools, along with a good understanding of Google's work environment and expectations.

What does a Data Scientist at Google do?

A Data Scientist at Google is responsible for analyzing large and complex data sets to help inform business decisions, develop new products, and improve user experiences. They use statistical analysis, machine learning, and data visualization techniques to uncover insights from data. Data Scientists at Google often collaborate with engineers, product managers, and other stakeholders to solve challenging problems and drive innovation across various products and services.

How much does Google pay a data scientist?

Google data scientists typically earn an average base salary ranging from $120,000 to $170,000 per year, depending on experience, location, and skill level. Total compensation often includes bonuses and stock options, which can significantly increase overall earnings. Entry-level roles may start lower, while senior positions can exceed $200,000 annually.

What is the difference between Data Scientist Google vs Data Analyst Google?

AspectData Scientist GoogleData Analyst Google
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often a PhD for advanced rolesBachelor's in related fields; certifications like Google Data Analytics are common
Work EnvironmentDeveloping models, advanced analytics, machine learning projectsData cleaning, reporting, visualization, basic analysis
Employer & Industry UsageTech giants, startups, industries leveraging AI and MLBusiness intelligence, marketing, finance across various sectors

Data Scientist Google focuses on building predictive models and advanced analytics, requiring higher technical skills and often advanced degrees. Data Analyst Google handles data interpretation, reporting, and visualization, with a focus on business insights. Both roles are essential but differ in complexity and scope.

More about Data Scientist Google jobs
What cities are hiring for Data Scientist Google jobs? Cities with the most Data Scientist Google job openings:
What states have the most Data Scientist Google jobs? States with the most job openings for Data Scientist Google jobs include:
What job categories do people searching Data Scientist Google jobs look for? The top searched job categories for Data Scientist Google jobs are:
Data Scientist Google jobs near you
Infographic showing various Data Scientist Google job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Product Data Scientist, Google Play App

Google

Mountain View, CA • On-site

Full-time

Posted 6 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

50th of 241 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
  • Experience in user engagement domains.
  • Experience in online App Store ecosystems or digital marketplaces.

About the job
Google Play provides apps, games, and digital content services that bring Android devices to life, serving over three billion users worldwide. This team is truly embedded in the product development lifecycle-acting as thought partners from ideation to experimentation, delivering strategic insights, and building unified data foundations.
As a Data Scientist for the Google Play Apps team, you will be the core investigative driver for product strategy and business growth. You will partner with engineering, product management, and UX stakeholders to support Google Play engagement. Your work will support organizational objectives and key results aimed at transforming the current app product offering with engaging content experiences. In this role, you will establish a foundational understanding of user behavioral data, helping to guide the product roadmap and experimentation.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide insights and recommendations to influence product feature development decisions, with some guidance.
  • Partner with engineering, product management, and other Play/Apps stakeholders to inform product strategy, influence decisions with insights, and establish success frameworks.

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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