What You'll be Owning
GRVTY is seeking a with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in .
The Data Science Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. They will also develop new methods for automating compliance functions and improve existing methods. Additionally, the Engineer will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Lastly, the Engineer will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
What You Must Have
- Active TS/SCI with Polygraph Clearance
- Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
- Experience with Java, Scala, and Python
- Experience with Lucene, JEXL, SQL, JSON
- Random Forest and ability to do feature development for Random Forest
- Experience with Machine Learning Model building and monitoring
- Experience developing in a Linux operating environment
- Experience with Ghostmachine (Map/Reduce)
- Experience with GM Learn
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/Gitlab and/or Stash/Bitbucket
- Experience with Jira
- Experience with Confluence
- Experience with Scikit-learn
- Agency Compliance standards, policies, and authorities
- Experience with Agency corporate systems
- Experience with documentation and reviewing documentation
What Would be Nice to Have
- Data Science skills/background
- Experience with AWS
- Experience implementing ML systems
- Experience with Spark
- Exploratory Data Analysis (EDA)
- Agentic AI
- Large Language Models (LLM)
- Machine Learning Feature Development
- Other Machine Learning models and techniques
#LI-BPJ
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.
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.
Skills Required
- Active TS/SCI with Polygraph Clearance
- Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity
- Bachelor's degree in Computer Science or related discipline (or 4 years additional SWE experience substitute)
- Experience with Java
- Experience with Scala
- Experience with Python
- Experience with Lucene
- Experience with JEXL
- Experience with SQL
- Experience with JSON
- Random Forest and ability to do feature development for Random Forest
- Experience with Machine Learning model building and monitoring
- Experience developing in a Linux operating environment
- Experience with Ghostmachine (Map/Reduce)
- Experience with GM Learn
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/GitLab and/or Stash/Bitbucket
- Experience with Jira
- Experience with Confluence
- Experience with Scikit-learn
- Familiarity with Agency compliance standards, policies, and authorities
- Experience with Agency corporate systems
- Experience with documentation and reviewing documentation
- Experience with documentation and reviewing documentation
What We Do
GRVTY is a national security and defense technology company that delivers mission and technical expertise in cyber, space, and spectrum. They provide automated ISR&T platforms, software, and data solutions to defense, intelligence, and homeland security customers, working on the frontlines against cyber adversaries.
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