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Data Scientist
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#31854
Remote / WFH
Elder Research
Job Description
Full job description
Data Scientist
General Information
Requisition # 693
Locations USA-VA-Arlington
Posting Date 05/06/2026
Security Clearance Required - Active Public Trust
Remote Type Hybrid (Washington DC Metro)
Time Type Full time
Description & Requirements
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. This is a hybrid position with several days onsite per month as needed.
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 include but are not limited to:
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:
2–3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data
Bachelor’s 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.
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
Data Scientist
General Information
Requisition # 693
Locations USA-VA-Arlington
Posting Date 05/06/2026
Security Clearance Required - Active Public Trust
Remote Type Hybrid (Washington DC Metro)
Time Type Full time
Description & Requirements
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. This is a hybrid position with several days onsite per month as needed.
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 include but are not limited to:
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:
2–3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data
Bachelor’s 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.
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
