Lead Data Scientist (PhD / SME)

About Us
Onyx Government Services, LLC., is a Service-Disable Veteran-Owned Small Business (SDVOSB), headquartered in Fairfax, Virginia. We specialize in data management, integration, and analysis solutions to provide decision-ready information to Command and Control (C2) and Decision Support Systems.  We have demonstrated expertise in the field of Information Technology, database & COTS integration, and custom software development.

Onyx pairs subject matter and functional experts with developers to provide high quality, tailored solutions. In support of our various efforts, we have developed the Onyx Data Management Toolkit, a combination of Agile Development principles, COTS Integration, and custom software, to deliver flexible, cost-effective solutions to a variety of Department of Defense, Intelligence Community, and Law Enforcement agencies.

Job Summary
We are seeking a Subject Matter Expert (SME)–level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau’s Decennial Transformation and Application Modernization (DTAM) effort.

This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models.

The Lead Data Scientist ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision-making and domain knowledge may have a critical impact on overall program implementation. May supervise others.

Work Location: Suitland, MD
Clearance: U.S. Citizenship required

***This position is contingent upon contract award. ***

Required Skills

• Expert proficiency in Python, R, SAS, and SQL and associated data science libraries and tools
• Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI / LLM models
• Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering
• Experience creating and using synthetic data and privacy-preserving data techniques
• Working knowledge of the NIST AI Framework and responsible/ethical AI practices

Desired Skills

• Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps)
• Familiarity with differential privacy, federated learning, and secure multi-party computation
• Experience with large-scale federal statistical or survey data programs
• Excellent written and verbal communication skills, including manuscript preparation and executive briefing to senior Government stakeholders

Education and Experience

• PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field — mandatory
• 15+ years of experience providing technical and management leadership on major data science assignments (SME level)

Salary Range: $165,000-$185,000 annually

The salary range for this position represents the anticipated compensation at the time of posting. Actual compensation will be determined based on factors such as the candidate's qualifications, experience, education, skills, contract requirements, funding and other business considerations.

Benefits
Eligible employees have access to a comprehensive benefits package, which currently includes:

• Medical, dental, and vision insurance
• 401(k) retirement plan
• Paid time off (PTO)
• Company-paid holidays
• Short-term and long-term disability insurance
• Life insurance

 

Equal Employment Opportunity

Onyx Government Services, LLC 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, age, disability, protected veteran status, or any other status protected by applicable law. Reasonable accommodations are available for qualified individuals with disabilities during the application and hiring process.