Data Scientist

About Elder Research Inc.

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA.

You'll support a U.S. federal civilian agency that serves as the central authority on human capital across the federal workforce, helping advance strategic goals around modernizing its use of data, building a stronger analytics workforce across government, delivering trusted human-capital data products to agencies and employees, and strengthening data governance, privacy, and security.

Responsibilities

• Develop, deploy, and maintain production ML and NLP models that surface insights from large volumes of human-capital and workforce data, directly supporting decisions made by federal agencies, employees, and the public.
• Build and modernize data products and pipelines that improve data access, integration, and quality across legacy and cloud-based systems.
• Translate ambiguous policy and program questions into well-scoped analytical work, partnering with non-technical stakeholders and presenting results in ways decision-makers can act on.
• Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance.
• Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling.

Minimum Qualifications

• 23 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data
• Bachelors degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field
• Hands-on experience building and evaluating NLP-based machine learning models
• Strong Python skills for developing and automating ML models and data pipelines
• Proficiency with collaborative development tools (VS Code, Git, GitHub Copilot)
• Experience working in Agile teams to iteratively develop and deliver data products
• Strong analytical, communication, and cross-functional collaboration skills, including translating ambiguous requirements into actionable solutions

Preferred Qualifications

• Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search.
• Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes.
• Experience working with human-capital, workforce, survey, or other administrative-record data.
• Experience with MLOps tooling and patterns for monitoring, retraining, and governing models in production.

Clearance Requirements

• This role requires the ability to obtain and maintain a U.S. Public Trust clearance.
• U.S. citizenship or other status meeting the federal investigative requirements is required at the time of hire.