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Google Internship Data Science Jobs in Seattle, WA

MCG Health

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud ...

Google

Staff Data Scientist, Product

Kirkland, WA · On-site

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... About the job Help serve Google's worldwide user base of more than a billion people. Data ...

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and ... non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS ...

MCG Health

Director, Data Science

Seattle, WA · On-site

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

LiveRamp

Senior Data Scientist - Identity

Seattle, WA · On-site +1

Own end-to-end data science workflows-from problem framing, data exploration, and modeling through ... Experience with Google Cloud Platform and its data and ML ecosystem (for example, BigQuery ...

Pwc

AI & GenAI Data Scientist-Director

Seattle, WA · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

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Google Internship Data Science information

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$13

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$47

How much do google internship data science jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for google internship data science in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Seattle, WA? For Google Internship Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Seattle, WA look for? The top searched job categories for Google Internship Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Google Internship Data Science jobs? Cities near Seattle, WA with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in Seattle, WA 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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Business and Marketing Data Science Manager

Google

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
  • Alternatively, will accept a Master's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
  • Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.

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 $240,000 - $334,000 25% 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 Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
  • Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
  • Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
  • Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
  • Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
  • Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.

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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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