Data Scientist - Senior
Company websitegrvty.com (GRVTY, opens in new tab)
Base salary $160K to $190K
Employer-published annual base salary, USD. Advertised base range in Falls Church, VA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationFalls Church, VA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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
- 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, continued education, and paid time off.
- The pay range for this position is: $160,000 - $190,000
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, continued education, and paid time off.
Virginia Pay Range
$160,000—$190,000 USD
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
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 [email protected] or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
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.
Source: GRVTY on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($160,000) is above 55% of the 272 Data & ML roles in Virginia listed on this site. Their median floor is $149,900; the middle half runs from $119,400 to $182,500.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.
This listingData Scientist - Senior$160K to $190K
Commercial RF Analytics PM$160K to $200K
Data Manager - Senior$160K to $190K
Lead LAN/WAN Engineer$160K to $172K
Network Engineer Level 3$161K to $171K
Software Integration Engineer Level 3$161K to $171K
Reverse Engineer 4$162K to $192K
Chart as a table
| Role | Published base |
|---|---|
| Data Scientist - Senior (this listing) | $160K - $190K |
| Commercial RF Analytics PM | $160K - $200K |
| Data Manager - Senior | $160K - $190K |
| Lead LAN/WAN Engineer | $160K - $172K |
| Network Engineer Level 3 | $161K - $171K |
| Software Integration Engineer Level 3 | $161K - $171K |
| Reverse Engineer 4 | $162K - $192K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Stopped meeting the published-salary criteria
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-06-29
Where this pay comes from
Location as the employer wrote it: Virginia Pay Range
USD 160,000 – 190,000 · interval unstated · pay_input_range · Virginia Pay Range · gh plain label (rule B)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
