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Summer Research Data Scientist Jobs (NOW HIRING)

Bristol Myers Squibb

Research Data Coordinator

Knowledge Science Research - Senior Scientist - Research Data Coordinator BMS seeks a talented ... T he summer hours program is for United States (U.S.) office-based employees due to the unique ...

Leidos

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and ...

Leidos

Data Scientist

Glen Echo, MD · On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and ...

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How much do summer research data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for summer research data scientist 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.

What is a summer research data scientist?

Summer Research Data Scientists are professionals, often students or early-career researchers, who work during the summer months to analyze and interpret data in support of academic or industry research projects. They apply statistical techniques, machine learning, and programming skills to extract insights from large datasets. Their work may involve data cleaning, building predictive models, and visualizing findings to help guide research outcomes. These positions provide hands-on experience with real-world data and are valuable for those interested in data science or research careers.

What types of projects and datasets does a summer research data scientist typically work with?

As a Summer Research Data Scientist, you can expect to work on a variety of research-driven projects, often involving analyzing large and complex datasets from fields such as healthcare, finance, or environmental science. These projects frequently require collaboration with academic researchers, faculty, or industry partners to solve specific scientific or business problems. You’ll likely be responsible for data cleaning, exploratory analysis, statistical modeling, and communicating findings through reports or presentations. The summer structure encourages hands-on learning, rapid iteration, and teamwork, providing a valuable opportunity to deepen your data science skills while contributing to real-world research.

What are the key skills and qualifications needed to thrive as a summer research data scientist, and why are they important?

To thrive as a Summer Research Data Scientist, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by coursework or experience in quantitative fields. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is typically required. Strong problem-solving skills, intellectual curiosity, and clear communication set outstanding candidates apart. These skills are essential for extracting insights from data, collaborating effectively with research teams, and delivering impactful results within a limited timeframe.

What is the difference between Summer Research Data Scientist vs Summer Data Analyst?

AspectSummer Research Data ScientistSummer Data Analyst
Required CredentialsTypically requires a background in computer science, statistics, or related fields; often pursuing a master's or Ph.D.Usually requires a bachelor's degree in data-related fields; some roles prefer coursework in statistics or analytics.
Work EnvironmentResearch-focused, often in academic or corporate R&D settings, emphasizing experimentation and model development.Business or operational settings, focusing on data reporting, visualization, and supporting decision-making.
Employer & Industry UsageUsed in academia, tech companies, and research institutions for advanced data modeling and experimentation.Common in finance, marketing, and consulting firms for data reporting and insights.

While both roles involve working with data during summer internships, Summer Research Data Scientists focus on developing models and conducting experiments, often requiring advanced degrees. In contrast, Summer Data Analysts primarily handle data reporting and visualization to support business decisions.

What cities are hiring for Summer Research Data Scientist jobs?

Cities with the most Summer Research Data Scientist job openings:

What are the most commonly searched types of Research Data Scientist jobs?

The most popular types of Research Data Scientist jobs are:

What states have the most Summer Research Data Scientist jobs?

States with the most job openings for Summer Research Data Scientist jobs include:

Summer Research Data Scientist jobs near you

Research Data Scientist, Cybersecurity, Google Cloud

Google

San Francisco, CA • On-site

Full-time

Re-posted 13 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 245 rated software companies

Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Reston, VA, USA.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience at the intersection of security or fraud and ML.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
  • Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
  • Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
  • Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.

About the job
The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today's most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
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
  • Explore promising areas of future research at the intersection of cybersecurity and machine learning.
  • Drive the research and development of new models and analytic products to solve cybersecurity problems.
  • Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
  • Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
  • Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.

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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