Data Scientist - Mid Level active TS/SCI

Mid-level Data Scientist with TS/SCI clearance focused on GEOINT data management, automation, and analytics for NGA, based in St. Louis, MO; salary range USD 59,150 - 106,925 per year.

Responsibilities

• Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise setting.
• Assist with developing a modernized data management workflow supporting multiple organizational programs.
• Collaborate with senior data scientists, database developers, and analysts to implement and maintain 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 APIs.
• 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.

Requirements

• 3-6 years of 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 a 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
• PostgreSQL, Postgis, PgAdmin
• Application programming interfaces (APIs)

Technologies

• Python, R, ArcGIS, ArcSDE, ArcPro, PostgreSQL, Postgis, PgAdmin, APIs, Flowable, MapInfo, MapBasic, Tableau

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement