Senior Data Scientist

Springfield, VA, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
USD $92,300.00 - 166,850.00 per year
Fitment

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Job Details

Skills

  • Data Analysis
  • Quantitative Analysis
  • Meta-data Management
  • Scripting
  • ArcGIS
  • Data Conversion
  • Migration
  • Python
  • Apache Pig
  • Java
  • JavaScript
  • SQL
  • R
  • Spatial Analysis
  • Database
  • Visualization
  • Mathematical Modeling
  • Management
  • Data Mining
  • Docker
  • Jupyter
  • Git
  • Big Data
  • Analytics
  • Databricks
  • Apache Spark
  • Deep Learning
  • Data Science
  • Programming Languages
  • Data Visualization
  • Cloud Computing
  • Microsoft Windows
  • Linux
  • Command-line Interface
  • IC
  • Internal Communications
  • Integrated Circuit
  • Recruiting
  • Market Analysis
  • Law

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: SCNCAPI2
  • Position Id: e72fc2d6a346005fd0a05f81444bb91d
  • Posted 12 hours ago
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