Data Science Analyst Jobs in San Diego, CA
Data Science Analyst jobs in San Diego are in strong demand across defense technology, biotech, and financial services, with hiring concentrated in Sorrento Valley, UTC, and Downtown. Employers actively filling roles include Novartis, Turquoise, and UC San Diego. Scan the live roles below and apply to whichever ones fit.
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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 Analyst JobsData Science Analyst 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 Analyst Jobs in San Diego: Frequently Asked Questions
How do I get a data science analyst job in San Diego?
Focus your search on San Diego's dominant hiring sectors: defense contracting, biopharmaceuticals, and fintech. Employers in Sorrento Valley and the UTC corridor hire data science analysts regularly for research, product, and operations functions. Candidates who can demonstrate experience with large datasets, machine learning pipelines, or clinical data stand out locally. Networking through San Diego tech meetups and university research partnerships also opens doors that online applications alone do not.
Which companies hire data science analysts in San Diego?
Companies currently hiring data science analysts in San Diego include Novartis, Turquoise, and UC San Diego, per current listings on Migrate Mate as of August 2026. San Diego's employer mix is distinctive, drawing from defense primes, life sciences firms, and regional financial institutions alongside a growing base of consumer tech startups.
Are there remote data science analyst jobs in San Diego?
Yes, data science analyst work is well suited to remote arrangements given its desk-based, analytical nature. About 75% of data science analyst openings tied to San Diego are remote or hybrid as of August 2026, reflecting broad flexibility across the market. Roles focused on modeling, reporting, and business intelligence tend to offer the most remote availability, while positions embedded in lab or defense environments typically require on-site presence.
How can I get a data science analyst job in San Diego with little or no experience?
The most realistic entry path in San Diego is through junior analyst or data associate roles at mid-size biotech and defense contractors, which regularly hire candidates with strong technical foundations even without years of experience. UC San Diego and San Diego State University research labs also bring on entry-level analysts. Internships at Sorrento Valley life sciences firms and rotational programs at regional financial companies provide the local experience hiring managers look for.
Which industries hire the most data science analysts in San Diego?
Most data science analyst openings in San Diego sit in Sports & Recreation, Technology & Software, and Electronics & Hardware, per current listings on Migrate Mate as of August 2026. San Diego's concentration of defense contractors, biopharmaceutical companies, and financial services firms creates consistent, year-round demand for analysts who can work with complex operational and research datasets.
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