Elder Research

Data Scientist Location: USA-VA-Arlington Job Description: Department:Government/Civilian Data Scientist General Information Requisition # 712 Security Clearance Required - IRS MBI 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 Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will support the Internal Revenue Service’s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include but are not limited to: - Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration - Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation - Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science–driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders - Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results - Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact - Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment - Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills Minimum Qualifications: - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences - 2-10+ years of experience in data science, analytics, or a related technical field - Experience using version control systems (e.g., Git) and collaborative development practices - Strong understanding of relational databases and SQL - Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone - Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges - Willingness to travel and work on-site at client locations as required by project needs Preferred Qualifications: - Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) - Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS - Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities - Experience with containerization and environment management (e.g., venv, conda) - Experience operating in secure or remote government environments, including use of bash and command-line tools Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation 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.

# Data Scientist Location: Arlington United States Time Type Full time Job Description: General Information - Requisition #: 674 - Locations: USA-VA-Arlington - Posting Date: 03/04/2026 - Security Clearance Required: IRS MBI - 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 Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities Responsibilities include but are not limited to: - Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration. - Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation. - Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders. - Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results. - Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact. - Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment. - Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills. Minimum Qualifications - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences. - 2-10+ years of experience in data science, analytics, or a related technical field. - Experience using version control systems (e.g., Git) and collaborative development practices. - Strong understanding of relational databases and SQL. - Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone. - Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges. - Willingness to travel and work on-site at client locations as required by project needs. Preferred Qualifications - Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields. - Experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting. - Understanding of the data analytics lifecycle (e.g., CRISP-DM). - Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS. - Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes. - Experience with graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities. - Experience with containerization and environment management (e.g., venv, conda). - Experience operating in secure or remote government environments, including use of bash and command-line tools. Clearance Requirements - Must currently possess an IRS Public Trust clearance with Full Background Investigation. Physical Requirements - Must be able to remain in a stationary position 50%. - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. - Must be able to exchange accurate information in these situations. 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.

Data Analyst Location: Arlington, Washington, United States Department:Government/Civilian General Information Requisition # 702 Locations USA-VA-Arlington Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Job Description: Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data. - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau. - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability. - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Minimum Qualifications: - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - 2+ years of Data Analysis or Data Management experience. - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences - Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. - Understanding of databases and familiarity with database design. Preferred Qualifications: - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis - Domain Expertise (fraud) or management Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

Title: Data Analyst Location: Arlington United States Job Description: Data Analyst General Information - Requisition #: 677 - Locations: USA-VA-Arlington - Posting Date: 03/04/2026 - Security Clearance Required: IRS - MBI - 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 Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: - Consulting with technical and non-technical stakeholders - Exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python - Developing and deploying data visualization dashboards - Communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels Minimum Qualifications - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - 2+ years of Data Analysis or Data Management experience - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data - Understanding of databases and familiarity with database design Preferred Qualifications - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis Domain Expertise (fraud) or management Clearance Requirements - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations - Must be able to exchange accurate information in these situations 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.

Title: Senior Data Scientist Location: Arlington, Washington United States Job Description: Requisition # 717 Security Clearance Required - IRS MBI 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 Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include but are not limited to: - Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration - Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation - Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data sciencedriven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders - Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results - Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact - Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment - Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills Minimum Qualifications: - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences - 5-10+ years of experience in data science, analytics, or a related technical field - Experience using version control systems (e.g., Git) and collaborative development practices - Strong understanding of relational databases and SQL - Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone - Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges - Willingness to travel and work on-site at client locations as required by project needs Preferred Qualifications: - Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) - Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li> - Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities - Experience with containerization and environment management (e.g., venv, conda) - Experience operating in secure or remote government environments, including use of bash and command-line tools Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation 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.

Title: AI Risk & Evaluation Subject Matter Expert Location: Arlington United States Job Description: General Information Requisition # 968 Security Clearance Required - Active Public Trust at time of hire Remote Type Hybrid (must be located in the Washington DC Area) Time Type Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI Risk & Evaluation Subject Matter Expertto join our team in Arlington, VA. This is a hybrid position with 1-2 days onsite per week. We are seeking an experienced AI Risk Management & Evaluation Subject Matter Expert to support the development of frameworks, methodologies, and operational guidance that strengthen trustworthy AI adoption and governance. This role will help advance AI risk management practices, AI assurance approaches, standards alignment, and evaluation readiness across complex technical environments. Responsibilities include but are not limited to: - Develop and maintain AI risk management and TEVV frameworks aligned to industry best practices and emerging AI standards. - Support AI governance activities, including risk mapping, evaluation planning, and integration of evaluation insights into operational risk management processes. - Produce governance briefs, standards alignment analyses, technical guidance, and executive-level reporting materials. - Contribute to AI standards and technical governance initiatives, including review and development of materials for standards organizations and industry working groups. - Collaborate with cross-functional technical and leadership teams to support trustworthy AI implementation and adoption strategies. - Deliver status reporting, strategic recommendations, and continuous framework enhancements based on evolving AI risks and evaluation needs Minimum Qualifications: - Minimum of 8 years of experience supporting AI evaluation, assurance, measurement science, or TEVV-related activities. - At least 5 years of hands-on experience implementing AI risk management, AI governance, or AI assurance programs. - Strong understanding of AI lifecycle risk management, evaluation methodologies, and AI governance frameworks. - Experience developing technical frameworks, operational guidance, and executive briefings related to AI risk and evaluation. - Familiarity with AI standards development organizations and emerging trustworthy AI practices preferred. - Excellent communication, analytical, and stakeholder engagement skills. Preferred Qualifications: - Knowledge of AI risk management frameworks, evaluation readiness methodologies, and standards alignment activities. - Experience supporting cybersecurity, critical infrastructure, manufacturing, or other high-priority AI application domains. - Ability to translate complex AI governance and technical concepts into actionable operational guidance. Clearance Requirements: - Must have an Active Public Trust at 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.

• Join the team of Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation. • Conduct investigative analysis to support government benefit fraud and financial crimes. • Analyze structured and unstructured data to identify fraud indicators and patterns. • Prepare investigative reports, referral packages, and case summaries for law enforcement. • Maintain strong knowledge of fraud schemes relevant to government benefit programs. • Use various analytic tools to assist in investigations.

• Join a motivated, career-oriented team as a Data Engineer. • Design, build, and maintain ETL pipelines across diverse data sources. • Implement data management standards and ensure data quality practices. • Collaborate with teams to optimize data loading and management processes.

• Join a team focused on financial analysis concerning fraud. • Work on forensic investigations related to money laundering and asset forfeiture. • Analyze funds including bank records in forensic accounting. • Utilize commercial databases and techniques for financial investigations. • Prepare reports and presentations using advanced Excel and PowerPoint skills. • Engage in large-scale forensic accounting assignments.

Role Description Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. - Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. - Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. - Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. - Identify trends and problems through complex big data analysis. - Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Qualifications - MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. - At least three (3) years of direct experience in machine learning. - Must have an Advanced Degree (Master's or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. - Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. - Ability to communicate analysis techniques, concepts and products. - Ability to develop data-driven solutions, data models, and visualizations. Requirements - Expertise using Qlik to embed visualizations into webpages. - Familiarity with Databricks or similar cloud-based distributed database technologies. - Familiarity with PySpark and Python. - Comfortable developing complex SQL queries to extract, transform, and load data. Benefits - Supportive work environment with established parental, bereavement, and PTO policies. - Prioritization of a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off. - Continuous learning opportunities, including weekly "Tech Talks" and provided lunch at office locations. Company Description Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. - Team members are passionate, curious, life-long learners. - Values include humility, servant-leadership, teamwork, and integrity. - Encourages self-motivation, innate curiosity, and strong teamwork. - Elder Research is an Equal Opportunity Employer. - Many positions require US Citizenship.