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

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense - including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

Robust health plan including medical, dental, and vision

Health Savings Account with company contribution

Annual Paid Time Off and Paid Holidays

Paid Parental Leave

401k with generous company match

Training and Development Opportunities

Award Programs

Variety of Company Sponsored Events

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.