Description
Leidos has an exciting opportunity for a Senior Exploitation Specialist/Data Scientist to join our team in Springfield, VA.
Primary Job Duties:
- Collect process data and perform data analysis.
- Integrate centralized protect and maintain data in DBMS.
- Clean massage and organized 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 meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
- Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.
- Support Business Processing Re-engineering.
- Perform Data Conversion/migration
- Perform Business Analytics.
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Basic Qualifications
- Quantitative Bachelor's degree with 10 years of related experience.
- Related Masters Degree with 7 years of experience.
- 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.
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.
Original Posting:
May 6, 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 $89,700.00 - $162,150.00
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.