Exploitation Specialist/Data Scientist- Senior

GRVTY•St. Louis, MO

About The Position

GRVTY is seeking a motivated and experienced Data scientist experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

Requirements

Active TS/SCI Clearance with the ability to obtain a CI/Poly
4+ years of experience working with SQL or NoSQL databases and cloud architectures
Experience leveraging APIs to query systems and migrate data
Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
Experience with programming languages such as Python, JavaScript, or Java
Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.

Nice To Haves

Experience working with NGA IT enterprise solutions , Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates
Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

Responsibilities

Design and implement robust database tables and schemas tailored for novel sensor data.
Build end-to-end Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines.
Establish automated data health monitoring, validation checks, and system alerts to detect pipeline anomalies.
Develop secure, scalable workflows to automate API-based data movement across disparate data platforms.
Ensure full alignment with government-mandated data governance protocols, standardized schemas, and transmission formats.
Conduct technical impact assessments on how novel data metadata, structures, and formats interact with existing production pipelines.
Identify potential bottlenecks or system regressions when modifying active databases, schemas, or ingestion endpoints.
Standardize and format raw sensor data to make it immediately viable for downstream data labeling and machine learning model testing.
Perform complex geospatial manipulations, including converting file format types, orthorectification, and chipping (tiling large imagery into specific pixel sizes or geospatial bounds).