Data Scientist – Mid

Full Timestaff

Springfield, Virginia, United StatesPosted 4 days ago

Role Overview

Grvty is hiring a staff-level Data Scientist – Mid. This is a full-time role in Springfield, Virginia. Part of Grvty's Embedded hiring, posted 4 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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PythonPandasNumPyORAccessibilityCompensationBenefitsEEOC

Job description

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.

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 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. 

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.

About Grvty

Grvty

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Frequently Asked Questions

How do I apply for the Data Scientist – Mid position at Grvty?

Use the Apply button above to submit your application directly to Grvty. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Scientist – Mid position at Grvty located?

This position is based in Springfield, Virginia. Grvty has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Scientist – Mid at Grvty earn?

Grvty has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Scientist – Mid role at Grvty posted?

This role was posted on July 6, 2026 (4 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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