Data Scientist Jobs in San Diego, CA
Data Scientist jobs in San Diego are concentrated in Torrey Pines, Sorrento Valley, and the UTC corridor, with strong demand across defense technology, biotech, and healthcare analytics. Employers actively hiring include Intuit, Booz Allen Hamilton, and Optum. See the openings below and apply to the ones that match your experience.
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Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Northrop Grumman is seeking Data Scientists – Machine Learning and Predictive Analytics to join the Aeronautics Sector Intern Program. This position will be located in San Diego, CA.
The qualified candidate will become part of Northrop Grumman’s Product Support organization.
As an intern, you’ll participate in a summer internship program to develop competencies in a variety of data science, machine learning, and predictive analytics specializations that may include:
- Collaborating closely with software engineers, analysts, and data scientists to understand data requirements and deliver robust, integrated solutions.
- Architecting and developing custom, maintainable data science solutions from the ground up.
- Building high-performance statistical and machine learning tools to derive insights from complex data sets.
- Performing deep data modeling and abstracting reusable patterns for long-term scalability.
- Writing modular, maintainable code and contributing to tests and documentation for data architectures, workflows, and processes.
- Applying and championing software engineering best practices in the data domain, including unit/integration testing, CI/CD automation (e.g., Git, Docker), and strong documentation.
- Tuning and optimizing complex algorithms within an on-premise infrastructure for performance and reliability.
Basic Qualifications:
A candidate, regardless of age and hiring source, must meet ALL of the below criteria. The candidate must:
- Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university AND graduating after August 2027
- Be majoring in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related STEM (Science, Technology, Engineering or Math) degree
- Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2027
- Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs (U.S. citizenship is a pre-requisite)
Preferred Qualifications:
- Have an overall cumulative GPA of 3.25 out of 4.0 or higher
- Previous internship/co-op experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular).
- Recent academic experience in machine learning, deep learning, software development, and/or data engineering
- Strong programming skills in Python and SQL
- Experience with C/C++
- Familiarity with CI/CD pipelines and version control tools (e.g., Git, Docker)
- Familiarity with libraries and frameworks such as SQLAlchemy, NumPy, Pandas, scikit-learn, and PyTorch
- Ability to troubleshoot and optimize complex data queries and workflows
- Familiarity with big data concepts, machine learning pipelines, and MLOps
- Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack
Intern Pay Range
- Undergraduate degrees (Including graduating students planning on attending/enrolled in a full-time Master’s program): $21.50-$39.00
- Master’s: $30.50-$48.00
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Find Data Scientist JobsData Scientist Job Market in San Diego
Who's Hiring
- Intuit234

- Booz Allen Hamilton47

- Optum16

- OpenBrand16O
- Amazon16

Top Industries Hiring
- Technology & Software47
- Fintech16
- Insurance16
- Consulting & Professional Services16
Data Scientist Jobs in San Diego: Frequently Asked Questions
How do I get a data scientist job in San Diego?
Focus your search on San Diego's defense contractors and government prime contractors clustered in Sorrento Valley and Kearny Mesa, the biotech and life sciences firms along the Torrey Pines corridor, and the health systems and digital health startups in Kearny Mesa and UTC. Candidates with experience in machine learning for genomics, sensor data, or cybersecurity analytics stand out in this market. Connecting with local data science meetups and UC San Diego's extension programs also builds visible credibility with San Diego hiring managers.
Which companies hire data scientists in San Diego?
San Diego data scientist roles are posted by Intuit, Booz Allen Hamilton, and Optum and others right now, based on current listings on Migrate Mate as of November 2026. San Diego's hiring mix is distinctive, blending large defense and aerospace primes, biotech and pharmaceutical companies, and a growing cluster of health-tech and financial analytics firms.
Are there remote data scientist jobs in San Diego?
Yes, though availability depends on the sector. Data science is largely desk-based and analytical, making it one of the more remote-friendly technical roles, but defense and government-adjacent employers in San Diego often require on-site or cleared work. About 34% of data scientist openings tied to San Diego are remote or hybrid as of November 2026, with the highest remote share in commercial biotech, health tech, and fintech rather than in defense or government contracting.
How can I get a data scientist job in San Diego with little or no experience?
The most realistic entry path in San Diego is targeting junior data analyst or associate data scientist roles at mid-size biotech companies and digital health startups in the Torrey Pines and Kearny Mesa areas, which tend to hire project-based and are more open to candidates building their portfolios. UC San Diego's Halicioglu Data Science Institute produces strong entry-level talent, so demonstrating applied project work and familiarity with Python, SQL, and bioinformatics or defense-adjacent datasets gives applicants a concrete edge with local employers.
Which industries hire the most data scientists in San Diego?
The sectors hiring the most data scientists in San Diego are Technology & Software, Fintech, and Insurance, based on current listings on Migrate Mate as of November 2026. San Diego's unique concentration of defense prime contractors, world-class biotech research institutions, and a maturing digital health ecosystem drives consistent, specialized demand for data science talent across all three sectors.
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