Senior Data Scientist

Leidos

Springfield, Virginia

JOB DETAILS
SKILLS
Analysis Skills, Apache Spark, ArcGIS, Big Data, Business Support, Cloud Applications, Cloud Computing, Customer Support/Service, Data Analysis, Data Collection, Data Management, Data Migration, Data Mining, Data Processing, Data Science, Data Visualization Tools, Database Management Software/Systems (DBMS), Deep Learning, Docker, Financial Analysis, GitHub, Information/Data Security (InfoSec), Java, JavaScript, Legal, Mathematical Modeling, Metadata, Programming Languages, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, Reengineering, SQL (Structured Query Language), Sensitive Compartmented Information (SCI), Software Administration, Spatial Data, Statistical Modeling, Storytelling, Top Secret Clearance
LOCATION
Springfield, Virginia
POSTED
30+ days ago

Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia.

Primary Responsibilities

  • Collect process data and perform data analysis.

  • Integrate centralized protect and maintain data in DBMS.

  • Clean, condition, and organize data.

  • Perform ad hoc analysis and present results in a clear manner.

  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.

  • Create/deploy/maintain cloud applications to support migration of data and production processes

  • Create/deploy/maintain tools to extract features data and metadata from a variety of sources, including raster to vector, vector to vector text, text to vector and text database.

  • Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.

  • Support business processing re-engineering.

  • Perform data conversion/migration.

Basic Qualifications

  • Typically requires a Bachelor’s degree and 8 – 12 years of prior relevant experience or Master’s degree with 6 – 10 years of prior relevant experience.

  • Quantitative BS + 10 yrs or quantitative MS + 7 yrs.

  • Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization.

  • Statistical/mathematical modeling.

  • Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT.

  • Experience with “big data” processing and analytics (Databricks/Apache Spark or similar).

  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications

  • Quantitative PhD.

  • Deep learning for data science.

  • 2+ programming languages, 2+ data visualization tools, 2+ cloud technologies.

  • Windows/Linux command line interface (CLI) experience.

  • Demonstrated IC experience.

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:

May 20, 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 $92,300.00 - $166,850.00

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 the Company

L

Leidos

Everything we do is built on our commitment to do the right thing for our customers, our employees, and our communities. Learn more about the values and culture that are the foundations of our business.
COMPANY SIZE
10,000 employees or more
INDUSTRY
Engineering Services
FOUNDED
1969
WEBSITE
http://leidos.com/

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