Six Figure Work

Data Scientist – Mid

GRVTY

Company websitegrvty.com (GRVTY, opens in new tab)

Base salary $110K  to $126K

Employer-published annual base salary, USD. Advertised base range in Springfield, VA

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  • LocationSpringfield, VA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (52 min ago) · observed since

About this job

What Impact You'll Have:

We are seeking a Mid-Level Data Scientist to provide embedded automation and GEOINT integration support. In this role, you will design and implement automation and augmentation capabilities that connect databases, applications, and enterprise systems to reduce manual effort, improve data accessibility, and accelerate production workflows. Your work will directly support NGA modernization initiatives. By integrating disparate data sources and automating repetitive tasks, you will help ensure analysts and decision-makers have timely access to the information they need to support mission execution.

You will work side by side with GEOINT analysts, database developers, and government stakeholders to identify inefficiencies, develop scalable solutions, and sustain modernized workflows. Success in this position requires a combination of GEOINT awareness, automation expertise, database integration experience, and strong technical problem-solving skills. Your contributions will improve operational efficiency, enhance data management practices, and ensure continuity of products and services delivered.

What You'll Be Owning:

  • Provide embedded GEOINT, automation, and augmentation expertise to ensure continuity of products and services delivered to the National System for Geospatial-Intelligence (NSG).
  • Develop automation solutions that connect databases and enterprise systems to streamline production and requirements workflows.
  • Integrate and transform data from multiple sources to collect, assemble, and prepare information for finished products and operational decision-making.
  • Gather, store, and disseminate metrics, operational data, and performance information between local and enterprise systems.
  • Research existing SFP data management practices and help design modernized workflows to improve efficiency and consistency across programs.
  • Ensure workflows integrate seamlessly with modernized database applications and enterprise APIs.
  • Automate repetitive data management and reporting tasks to reduce manual effort and improve accuracy.
  • Develop algorithms and scripts using Python and related technologies to support data processing and workflow automation.
  • Utilize Esri ArcGIS Pro, ArcSDE, and related Esri tools to support data discovery, analysis, and integration activities.

What You Must Have:

  • Active TS/SCI clearance with the ability to obtain and maintain a CI Polygraph.
  • 9+ years of relevant experience in data science, automation, software development, data engineering, database integration, GEOINT support, or related technical disciplines. A combination of education, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience connecting multiple databases and enterprise systems to automate data collection, transformation, and dissemination.
  • Experience automating repetitive business or analytic tasks using scripts and workflows.
  • Experience gathering and disseminating metrics and operational data.
  • Demonstrated ability to identify process inefficiencies and implement automation solutions that improve workflow performance.
  • Strong analytical and problem-solving skills.
  • Effective written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

What Would Be Nice to Have:

  • Basic understanding of GEOINT workflows, including collection, exploitation, analysis, and product delivery.
  • Experience with workflow management systems such as Flowable or Esri Workflow Manager.
  • Experience supporting National Geospatial-Intelligence Agency or other Intelligence Community organizations.
  • Experience working with modernized database applications and enterprise APIs.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Geographic Information Systems, Engineering, Information Systems, or a related technical discipline.

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: $110,000 - $126,000

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

$110,000—$126,000 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 ($110,000) is above 14% of the 272 Data & ML roles in Virginia listed on this site; 2 others list the same floor. Their median floor is $150,000; the middle half runs from $119,400 to $187,000.

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 6, 2026.

This range next to 6 other live GRVTY roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live GRVTY roles with the nearest advertised base floor
RolePublished base
Data Scientist – Mid (this listing)$110K - $126K
PIR Space and Mission Analysis (SpaM) Analyst$110K - $150K
Data Analyst - Mid$110K - $150K
PIR Exploitation Analyst$110K - $150K
Financial Reporting Senior Accountant - Hybrid$110K - $125K
Sr. System Administrator$110,000 - $117,500
Senior VDI Engineer$112,500 - $122,500

Same $100K to $400K scale as every card. All GRVTY roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Stopped meeting the published-salary criteria
  4. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-05-12
Where this pay comes from

Location as the employer wrote it: Virginia Pay Range

USD 110,000 – 126,000 · 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.