Data Scientist - Senior

GRVTY; Falls Church (VA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Robust health plan including medical, dental, and vision

Health Savings Account with company contribution

Annual Paid Time Off and Paid Holidays

401(k) with generous company match

Training and Development Opportunities

Variety of Company Sponsored Events

Job summary

GRVTY is looking for a motivated Data Scientist in Falls Church, VA to analyze data using statistical methods and support Machine Learning initiatives. The ideal candidate will integrate new data types into workflows and lead projects to enhance operational efficiency.

Experience with Python, SQL, and a TS/SCI Clearance are essential. This role offers a competitive salary range of $160,000 – $190,000 USD and includes robust health benefits, 401(k) matching, and ample opportunities for training and development.

Qualifications

• 3+ years of experience in quantitative analysis and data operations.
• Experience with AI/ML technologies and data systems.
• Active TS/SCI Clearance with ability to obtain CI/Poly.

Responsibilities

• Integrate emerging sensors and platforms into data pipelines.
• Evaluate and recommend solutions for data partitioning.
• Lead projects using advanced analytical techniques.

Skills

Data analysis

Statistical methods

Machine Learning

Python

SQL

NLP

Education

3+ years of quantitative analysis experience

Active TS/SCI Clearance

Tools

SQL databases

NoSQL databases

GeoSpatial formats

JSON and XML formats

Job description

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.

Responsibilities

• 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

Qualifications

• 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

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

Pay Range: $160,000 – $190,000 USD

Benefits

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• 401(k) with generous company match
• Training and Development Opportunities
• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email [e-mail] or call 703‑544‑7930 with requested details. A member of the HR team will respond to your request within 2 business days.