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HomeCompaniesGRVTYData Scientist - Senior

Data Scientist - Senior

GRVTY · Joint Base Lewis-McChord, Washington, United States · Active · $120,000–$150,000 / year · Greenhouse

Job facts

FieldValue
CompanyGRVTY
TitleData Scientist - Senior
Normalized title-
Department / teamSpace Intelligence Business Unit
LocationJoint Base Lewis-McChord, WA, United States
Work model-
Employment type-
Salary$120,000–$150,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-24 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from GRVTY.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Joint Base Lewis-McChord.Open
Department jobsActive postings in Space Intelligence Business Unit.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGRVTY
Sourcec53f1e7e-e510-4d62-b0fe-7e85c54942f5
ATS providerGreenhouse

Description

What You’ll Be Doing: We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments. What Impact You'll Have: We are looking for a Senior Data Scientist, with 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). What You Have to Have: Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement) Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions. Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data. Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools. Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms. Strong SQL skills and experience querying relational databases. Experience using Git-based version control platforms such as GitLab or GitHub. Proficiency with geospatial processing frameworks such as GDAL or ArcPy. Proficiency with GIS desktop software such as ArcGIS Pro or QGIS. Ability to write clear, concise technical documentation related to software systems and automated workflows. Ability to operate independently at a senior level with limited oversight. Familiarity with USSOCOM and broader U.S. military organizational structures. Familiarity with common Intelligence Community (IC) data repositories. 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. Washington Pay Range $120,000 — $150,000 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.

Full job record

Job ID626ad011daf4c8708fd2e55fbdc274db7159af5c
Org ID0351b8c0-92eb-4edb-9d63-c3514afa9eef
Source IDc53f1e7e-e510-4d62-b0fe-7e85c54942f5
Board IDc53f1e7e-e510-4d62-b0fe-7e85c54942f5
Providergreenhouse
Provider Job Key4232480009
TitleData Scientist - Senior
Normalized Title
Statusactive
Activeyes
Location TextJoint Base Lewis-McChord, Washington, United States
DepartmentSpace Intelligence Business Unit
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionWA
CityJoint Base Lewis-McChord
Salary RawPay Range $120,000 — $150,000 USD Why Choose GRVTY The toughest national security challenges
Salary Min120,000
Salary Max150,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/grvty/jobs/4232480009
Apply URLhttps://job-boards.greenhouse.io/grvty/jobs/4232480009
First Seen At2026-05-29 22:42:28Z
Last Seen At2026-06-06 07:34:57Z
Last Checked At2026-06-06 07:34:57Z
Last Changed At2026-05-29 22:42:28Z
Inactive At
Source Posted At2026-04-24 19:55:36Z
Source Updated At2026-04-27 16:40:17Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=grvty/date=2026-06-06/2026-06-06T07-34-57-688Z-7d9456846546cbcbad531eb144c939a956884cc47614e515aa88fd886f2f441c.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "first_published": "2026-04-24T15:55:36-04:00",
  "application_deadline": null
}
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