Data Science Engineer Jobs in San Diego, CA
Data Science Engineer jobs in San Diego are concentrated in Sorrento Valley, Torrey Pines, and the Kearny Mesa corridor, with strong demand across defense technology, biotech, and telecommunications. Employers hiring right now include Novartis, Turquoise, and UC San Diego. See the openings below and apply to the ones that match your experience.
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Description
Leidos tackles the most challenging national defense problems using advanced signal processing algorithms and data analytics. At our San Diego, CA office, we have a dedicated and experienced team of Scientists and Engineers devoted to squeezing the last bit of information from every data set. We are seeking a Data Science Intern with an interest in algorithm research, development, and implementation, who also possesses a strong scientific curiosity and desire to learn new things.
Primary Responsibilities:
Work with a mentor to develop cutting edge machine learning algorithms and statistical models for national defense.
Work with a mentor to research and apply state-of-the-art solutions to novel problems across the active and passive sensing domains.
Work with a mentor to conduct actionable data analysis.
Contribute to AI/ML research code in support of rapid prototyping.
Document results.
Work collegially within a talented team of peers.
Basic Qualifications:
Junior or Senior in college working towards a bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
Experience in Python and the standard machine learning libraries.
Good analytical and mathematical skills.
Interest in scientific algorithm development, applied machine learning research, large dataset analysis, and signal processing methodologies.
Interest in innovation, problem solving, and achieving technical results.
Ability and desire to learn new concepts.
Ability to obtain a Top-Secret Security Clearance.
U.S. citizenship is required.
Preferred Qualifications:
Currently enrolled in a graduate program.
Experience with machine learning methods and concepts.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
July 29, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $48,100.00 - $86,950.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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Find Data Science Engineer JobsData Science Engineer Job Market in San Diego
Who's Hiring
- Novartis18

- Turquoise18

- UC San Diego18

- Apple9

- Merck9

Top Industries Hiring
- Sports & Recreation18
- Technology & Software9
- Electronics & Hardware9
Data Science Engineer Jobs in San Diego: Frequently Asked Questions
How do I get a data science engineer job in San Diego?
Focus your search on Sorrento Valley and Torrey Pines, where defense contractors, biotech firms, and telecom companies concentrate most of their data science hiring. Candidates who can work across structured and unstructured data pipelines stand out, as do those with experience in signal processing or life sciences data. Networking through San Diego's active tech and biotech meetup scene also opens doors that job boards alone do not.
Which companies hire data science engineers in San Diego?
Companies currently hiring data science engineers in San Diego include Novartis, Turquoise, and UC San Diego, per current listings on Migrate Mate as of August 2026. San Diego's hiring base is notably broad, mixing large defense primes and global biotech companies with a growing layer of mid-size analytics and software firms.
Are there remote data science engineer jobs in San Diego?
Yes, data science engineer work is well suited to remote arrangements because the core duties involve code, models, and data rather than physical presence. About 75% of data science engineer openings tied to San Diego are remote or hybrid as of August 2026. Model development and pipeline work tend to be the most remote-friendly tasks, while roles tied to on-site defense contracts or lab-integrated biotech projects typically require in-person attendance.
How can I get a data science engineer job in San Diego with little or no experience?
The most realistic entry path in San Diego is targeting junior data or machine learning engineer roles at mid-size biotech and analytics companies, which tend to have more flexible hiring thresholds than large defense primes. Building a portfolio that includes bioinformatics or geospatial projects resonates locally. San Diego's UC San Diego extension and the Jacobs School of Engineering alumni network also connect early-career candidates directly to companies actively hiring in the region.
Which industries hire the most data science engineers in San Diego?
San Diego data science engineer roles concentrate in Sports & Recreation, Technology & Software, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. San Diego's deep presence in defense research, pharmaceutical development, and wireless technology creates sustained demand for engineers who can work with large, complex datasets across all three sectors.
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