Data Scientist - Senior

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.

What You'll be Owning

Integrate emerging sensors and platforms into existing data pipelines and workflows, including:

Developing pipelines and relevant data structures for emerging capabilities

Incorporating new data types into existing data workflows

Assess potential differences in metadata, data format, and data structure characteristics regarding changes to:

Databases and schemas

APIs and other ETL-related processes

Ingestion and movement of data within the existing data operations pipelines

Conduct analysis of how emerging data impacts overall program data holdings from the perspective of:

Machine Learning model development

Test and evaluation use cases

Real-world operational use cases

Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation

Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems

Lead projects using advanced mathematical, statistical, and scientific techniques to:

Examine complex mission and operational problems

Create insights from data

Build web scraping algorithms for imagery curation in accordance with customer data priorities

Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities

Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities

Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives

Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping

Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities

Build software tools to manage labeling campaigns, including:

Tracking unlabeled and labeled data and campaign status

Transferring label task information via API-based movement between platforms

Build software tools to:

Filter and visualize data geospatially

Allow feedback entry and data analysis

Integrate with existing data management platforms

Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements

Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation

What You Must Have

Active TS/SCI Clearance with the ability to obtain a CI/Poly

Experience working with AI/ML technologies and data systems

Experience working with multiple file types including:

Geospatial file formats

JSON, XML, and related formats

3+ years of experience in quantitative analysis and data operations, including:

Developing visualizations and processing complex data to create data-driven insights

Data manipulation and ETL procedures

Working knowledge of SQL and NoSQL database technologies

Development experience in Python and other languages for data cleaning and manipulation

What Would be Nice to Have

Experience applying Natural Language Processing (NLP) algorithms to extract data from documents

Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices

Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.

We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.

Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, con…