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Data Scientist Google Jobs (NOW HIRING)

Google

Data Scientist

San Bruno, CA

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Mindlance

Data Scientist

Holtsville, NY · On-site

Data Scientist Job Location: Holtsville, NY Duration: 6+ Months Responsibilities: * Design, build ... Familiarity with tools and platforms such as TensorFlow, PyTorch, Databricks, Google BigQuery, and ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra, differential ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS ...

SteerBridge

Data Scientist

Vienna, VA · On-site

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

Conflux Systems

Data Scientist

$85/hr

Data Scientist Job Location: REMOTE Pay: $85/hr on W2 Duration: 12 months Long-term role with ... Cloud, Google Ads, Facebook Ads or similar clean room applications or worked in search engine ...

SteerBridge

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

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How much do data scientist google jobs pay per year?

As of Jun 23, 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.

How do I get into Google data scientist?

To become a data scientist at Google, candidates typically need a strong background in computer science, statistics, or related fields, along with experience in machine learning, data analysis, and programming languages like Python or R. A relevant advanced degree such as a master's or PhD is often preferred, and familiarity with tools like TensorFlow and big data platforms can be advantageous. Strong problem-solving skills, a portfolio of projects, and experience with large-scale data are also important for the application process.

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.

Is it difficult to get hired at Google?

Getting hired as a Data Scientist at Google is competitive due to high standards for technical skills, including proficiency in programming, data analysis, and machine learning. Candidates typically need strong educational backgrounds, relevant experience, and a solid portfolio or projects to succeed in the interview process.

Can I get a job in Google as a data scientist?

Data Scientist roles at Google require strong skills in statistics, machine learning, and programming languages like Python or R. Candidates typically need a relevant degree, such as a master's or Ph.D., and experience with data analysis tools and large datasets. The hiring process includes technical interviews and assessments of problem-solving abilities.

Is 30 too late for data science?

Data scientists can successfully enter the field at age 30 or older, as skills in programming, statistics, and machine learning are more important than age. Many professionals transition into data science from different backgrounds, and continuous learning through online courses and certifications can facilitate this career change.

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.

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.

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 June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Scientist, Google Research

Google

Mountain View, CA

Full-time

Posted 12 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

Minimum qualifications:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • Coding experience in Python, JavaScript, R, Java, or C .
  • One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:
  • 2 years of coding experience in Python, JavaScript, R, Java, or C .
  • 1 year of experience owning and initiating research agendas.

About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Author research papers to share and generate impact of research results across the team and in the research community.
  • Help in growing research business across teams by sharing research trends and practices within the community.
  • Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
  • Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance.
  • Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

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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