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Google Internship Data Science Jobs in Washington, DC

US AI

Sr. Data Scientist

North Bethesda, MD · On-site

... internships, coursework, and personal projects that highlight your skills and a strong dedication to the field of data science. * Fundamental knowledge of cloud platforms like AWS, Google Cloud, or ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ...

Lexical Intelligence LLC

NLM Data Scientist

Bethesda, MD · On-site

$100K - $115K/yr

... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...

New

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...

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Google Internship Data Science information

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$13

$25

$47

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

As of Aug 30, 2026, the average hourly pay for google internship data science in Washington, DC is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

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 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 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 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 Washington, DC?

For Google Internship Data Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Google Internship Data Science jobs in Washington, DC look for?

The top searched job categories for Google Internship Data Science jobs in Washington, DC are:

Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $53,016 per year, or $25.5 per hour.

2027 Internship - Data Science - System Performance Evaluation

Johns Hopkins Applied Physics Lab

Laurel, MD • On-site

$64.76/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Do you enjoy manipulating and analyzing data to find data-driven solution to complex problems?

Do you want to contribute to work that is crucial to maintaining our national security and strength?

Are you continuously searching for new ways to improve and build upon your projects?

If you are majoring in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist intern to leverage their computational and analytical skills supporting multi-disciplinary teams on a variety of technological and methodological innovations to create analysis and assessment approaches for many defense and national security applications. You will be joining our team of hardworking engineers, software developers, data scientists, and analysts committed to advancing the state of the art in performance evaluation of the nation’s strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities, and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.

As a member of our team you will…

  • Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Develop Build models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder’s needs across a variety of domains
Qualifications

You meet our minimum qualifications for the job if you...

  • Are pursuing a degree in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have experience with developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, or statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain a final Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • Have a minimum 3.0 GPA on a 4.0 scale.

You’ll go above and beyond our minimum requirements if you…

  • Have a Bachelor’s in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with statistical analysis methodologies and design of experiments
  • Have experience with or knowledge of SQL and Data Science frameworks (such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, or more)
About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$22.60 Hourly

Maximum Rate

$47.95 Hourly

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