Pay
In line with similar jobs
$131K–$237K against $118K–$195K, the middle half of what similar US postings state.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
Rockville, MD
Open 4 months, first seen by us 147 days ago- Pay
$131,300–237,350/yearAnnual period assumed — pay source
Pay Range: Pay Range $131,300.00 - $237,350.00 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active Top Secret clearance and eligibility for TS/SCI with Polygraph
What you’ll work on
Full postingLead design, development, and deployment of advanced analytics and AI/ML solutions
Collaborate with analysts, engineers, and developers on production-ready algorithms and platforms
Apply statistical, predictive, graph, and explainable AI techniques
Work with structured, unstructured, open source, and digital media data
From the employer’s posting
Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
Work with diverse data types (structured, unstructured, open source, digital media)
What you’ll bring
All qualificationsCore experience
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.).
- Relevant experience may be substituted for a degree.
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
- Proficiency in Python and at least one other scripting language.
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).
Preferred experience
- Experience supporting military or intelligence community customers.
- Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
- Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
- Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
Qualification wording
Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
Proficiency in Python and at least one other scripting language.
Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).
Experience supporting military or intelligence community customers.
Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
Education & alternatives
What You Bring: - Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree. - 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree. - 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s). - Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 147 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 17, 2026147 days ago
- Recorded sightings
- 220
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 147
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past Leidos’s usual: its jobs come down by about day 27.
From 11,372 similar postings that came down, and 307 of Leidos’s. Coming down is not always a hire.
Leidos is hiring
41 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 20% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Docker
- Hadoop
- Kubernetes
- Neo4j
- Spark
- PyTorch
- scikit-learn
- Streamlit
Where the posting names them
- Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. - Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms. - Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph. - Proficiency in Python and at least one other scripting language. - Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Experience supporting military or intelligence community customers. - Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack. - Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
- Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark). - Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing). - Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.
- Track record of creative problem solving, active learning, and mission-focused outcomes. - Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift). Preferred Qualifications:
- Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack. - Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark). - Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
Your next step
Complete your application on leidos.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Leidos posted this job before?
Yes. We’ve followed 3 other Senior Data Scientist jobs there since April 2026. 3 came down, usually after about 7 days.
Large employers often post one title for several teams, so these can be separate openings.
About Leidos
- People
- About 37,274 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as LDOS.
- H-1B visas
- 22 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.
As a Senior Data Scientist, you will:
- Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
- Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
- Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
- Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
- Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).
What You Bring:
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
- Proficiency in Python and at least one other scripting language.
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Track record of creative problem solving, active learning, and mission-focused outcomes.
- Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).
Preferred Qualifications:
- Experience supporting military or intelligence community customers.
- Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
- Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
- Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
- Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.
#ASBA
#NMEC-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:
June 16, 2026For 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 $131,300.00 - $237,350.00The 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range: Pay Range $131,300.00 - $237,350.00 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.
- Location & working pattern
Rockville, MD
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. - Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA). What You Bring:
More source context
- Proficiency in Python and at least one other scripting language. - Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms. - Track record of creative problem solving, active learning, and mission-focused outcomes.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.