Data Scientist
General Information
Requisition # 719
Locations USA-VA-Arlington OR USA-NC-Raleigh OR USA-VA-Charlottesville
Posting Date 06/12/2026
Security Clearance Required - NONE
Remote Type Hybrid
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 Raleigh, NC or Washington DC. This role is hybrid, and candidates must be in the Raleigh, NC, Charlottesville, VA, or Washington, DC, markets to support 1–2 days onsite per week.
This role is for a highly experienced and curious data scientist to lead and/or support the full-lifecycle development and deployment of analytical solutions at Elder for a wide range of clients and projects. You will operate as a critical member of our analytics consulting team, acting as a trusted advisor for a diverse set of client partners. Elder Research’s data scientists leverage advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready solutions supported by robust data engineering practices.
Responsibilities include but are not limited to:
- Lead and Contribute to Data Science Projects: Dive deeply into complex and often nebulous requirements and draw from your expertise to develop production-ready models and analytics products for our clients. Clients’ needs can require a broad set of analytics skills including but not limited to time series forecasting, natural language processing (NLP), classification/regression modeling, and optimization.
- Design Solutions within Client Environments: Adapt project work to the client’s tooling and environment requirements. This will oftentimes require quickly learning new systems and tools to be able to deliver solutions that will work well within a client’s ecosystem.
- Consult with Clients to Solve Problems: Engage in critical requirements gathering and data “sleuthing” to connect business use cases with the right analytics techniques to provide real-world impact. You will often work directly with clients to define and solve problems that lack clear initial definitions and will regularly communicate your solutions directly to stakeholders.
- Develop, Lead, and Support Analytics Training Courses: Develop and/or teach bespoke data science, AI, or related material designed specifically for Elder Research clients. This can include support for active courses through lecture, mentoring, and grading.
- Collaborate and Communicate: Work with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.
Minimum Qualifications:
- 3+ years of experience as a Data Scientist.
- Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or the social or natural sciences.
- High proficiency in Python and/or R, including libraries for data analysis and modeling.
- Experience developing machine learning models and employing model validation best practices.
- Strong SQL experience to facilitate deep dives and analysis of complex datasets.
- Working knowledge of version control (Git) for source code.
- Initiative and willingness to “hit the ground running” on new projects; unafraid to work independently.
- Passion and curiosity for exploring data to understand the business context and connect technical work to real-world impact.
- Excitement to continually learn new tools and techniques.
- Humility and eagerness to collaborate with other data scientists, data engineers, engagement and project managers, and clients.
- Interest in developing and contributing to instruction for data science and AI training courses.
- Ability to communicate complex technical findings to a variety of audiences, including those with limited data science experience.
Preferred Qualifications:
- Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
- Strong consultative and communication skills to represent the team effectively to clients.
- Ability to work autonomously in fully remote, flexible client environments.
- Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields.
- Experience applying advanced statistical concepts and data science workflows to real-world data, including out-of-sample validation for various model types, sampling considerations, bias detection, handling missing or outlying data, and robust exploratory analysis.
- Understanding of the data analytics lifecycle (e.g., CRISP-DM).
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 [email protected] and provide your name and contact information.
Skills Required
- 3+ years of experience as a Data Scientist.
- Bachelor of Science degree in a relevant field (statistics, computer science, economics, mathematics, analytics, data science, business, social or natural sciences).
- High proficiency in Python and/or R, including libraries for data analysis and modeling.
- Experience developing machine learning models and employing model validation best practices.
- Strong SQL experience for deep dives and analysis of complex datasets.
- Working knowledge of version control (Git).
- Initiative and willingness to work independently and hit the ground running on new projects.
- Passion and curiosity for exploring data and connecting technical work to business impact.
- Excitement to continually learn new tools and techniques.
- Humility and eagerness to collaborate with other data scientists, data engineers, project managers, and clients.
- Interest in developing and contributing to instruction for data science and AI training courses.
- Ability to communicate complex technical findings to a variety of audiences.
- Exceptional comfort with ambiguity and ability to drive projects from vague concepts to outcomes.
- Strong consultative and communication skills to represent the team to clients.
- Ability to work autonomously in fully remote, flexible client environments.
- Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields.
- Experience applying advanced statistical concepts and data science workflows, including out-of-sample validation, sampling considerations, bias detection, and handling missing/outlying data.
- Understanding of the data analytics lifecycle (e.g., CRISP-DM).
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
