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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Mid Level active TS/SCI - **Company:** Leidos, Inc. - **Location:** St. Louis, MO, United States - **Experience:** Experienced - **Salary:** $59,150.0 - $106,925.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Algorithm Design, ArcGIS (Software), ArcSDE, Databases, Data Cleansing, Database Applications, Geospatial Intelligence, Python (Programming Language), PostgreSQL, Machine Learning, PostGIS, Tableau (Software), Workflow Management Systems, Data Management, MapInfo Pro, Programming Languages - **Published:** July 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9030136/data-scientist-mid-level-active-tssci ## About the Role * 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 ## Description This interesting work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a Data Scientist for NGA. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities. * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)