Leidos
Data Scientist - Mid Level active TS/SCI
St. Louis, MO
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Stated salary
- $59,150 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO.
This interesting work requires staff qualified to have a basic understanding of GEOINT integration work. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities.
Primary Responsibilities
Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise organization.
Assist with developing a modernized data management workflow supporting multiple organizational programs.
Collaborate with senior data scientists, database developers, and analysts to implement and sustain updated database processes and workflows.
Research and document existing data management practices, procedures, and system dependencies.
Help design improved workflows with automation incorporated from the outset.
Ensure new workflows integrate effectively with modern database applications and enterprise-level application programming interfaces.
Enhance existing models and simulations involving production, monitoring, and change-detection data.
Support additional data management and modernization initiatives as required.
Develop code and scripts, including the conversion of legacy applications written in multiple programming languages into Python-based solutions.
Implement enterprise database management standards, processes, and controls.
Automate repetitive data preparation, validation, transformation, and reporting tasks.
Deliver technical solutions that apply industry best practices to modernize existing operational processes.
Conduct data investigations using applied statistics, algorithm development, and collaboration with subject-matter experts.
Translate complex analytical findings and operational realities into clear explanations for non-technical audiences.
Create visualizations and dashboards from diverse data sources that are accessible and understandable to non-technical users.
Basic Qualifications
3-6 years’ experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.
Active TS/SCI with willingness to be approved for a Polygraph
Bachelor’s Degree in related field (additional years of experience can be considered in lieu of degree)
Working knowledge of ArcGIS, ArcSDE, ArcPro
Familiarity with: common data science libraries and frameworks, plus:
PostgreSQL, Postgis, PgAdmin
Application programming interfaces (APIs)
Preferred Qualifications
Experience with workflow management systems, such as Flowable, and
Working knowledge of MapInfo/ MapBasic GIS/ database software
Experience with data visualization software such as Tableau
#GEOINTMISSION
#NSBA
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:
September 17, 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 $59,150.00 - $106,925.00
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.
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