Data Scientist

Description

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Are you a Data Scientist that likes to perform research-level data analytics and are willing to work at our customer site in Bethesda, MD? Want to support ongoing and future programs to advance the state of the art in research and advanced machine learning, natural language processing, and data fusion applications in the areas of mission-focused big data analytics? You will be part of a research-focused data science team working to advance national security objectives, produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Exciting right!!

Fun stuff on the job you will do:

• Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. 

• Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.

• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

• Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.

• Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement 

To be successful in this role you need the following:

• B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.

• Active TS/SCI and ability to obtain a TS/SCI with Polygraph.

• Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes

• Proficiency in one or more scripting languages such as Python

• Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.

• Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)

• Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms

• Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory.

• Track record of active learning and creative problem solving

• Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.

• Familiarity using git or other version control technologies

• Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision

You will wow us even more if you have these skills:

• A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.

• Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics

• Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.

• Experience developing predictive algorithms, image classifiers, object detectors, and others.

• Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.

• Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.

• Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

• Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.

#NMECDTP-Leidos

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:

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:

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 .

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 .

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 .

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the .

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.