Data Scientist

Job Description

Description

Leidos tackles the most challenging national defense problems using advanced signal processing and data analytics. At our San Diego 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 currently seeking data scientists to join our leading-edge research and engineering group.

In this role, you will collaborate with multidisciplinary team members focused on Physics (Hydrodynamics, Acoustics, RF and EO / IR propagation, among other areas) and Machine Learning to design, implement, and deliver cutting edge machine Signal Processing solutions to complex problems of national importance.

This position offers you the opportunity to grow and develop your skills in collaboration with our team. We hire people with curiosity and passion about science, technology, engineering, and math and who want to take that passion and turn it into reality.

Primary Responsibilities

Identify, prototype, and deploy appropriate (off-the-shelf, fine tuning, or custom) machine learning solutions utilizing state-of-the-art methods and in-depth data analysis.

Implement advanced statistical concepts, algorithms and techniques to extract, consolidate, and analyze unstructured, classified “big data” sources to generate actionable insights.

Collaborate with a team of other applied scientists, engineers, researchers & program managers to research and develop machine learning solutions to novel problems.

Engage in continuous learning and development, staying current with the latest advances in AI / ML and data science to ensure fit-for-purpose and impactful approaches.

Basic Qualifications

Bachelor's degree with 4+ years of prior relevant experience or Master’s degree with 2+ years of relevant experience.

Strong understanding of machine learning theory, concepts, and algorithms

Proficient in modern data exploration techniques and tools

Experience developing and implementing machine learned solutions

Familiarization with modern AI / ML algorithms and libraries

Fluency in C / C++, Python

Strong written and verbal communication skills

Required on-site full-time work in San Diego, CA

Currently holds an active US Government Top Secret security clearance

Preferred Qualifications

Experience performing research to develop data science solutions

Experience implementing and applying advanced physical and mathematical concepts in software applications

Experience with active or passive sensor data and relevant signal processing techniques

Experience with Large Language Model (LLM) development and deployment

Familiarization with Fortran or Matlab

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 : September 22, 2025

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 $85,150.00 - $153,925.00

The 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.