Elder Research

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.

• Supports U.S. Customs and Border Protection in the Washington DC area • 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, focusing 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

Data Scientist Location: Arlington, VA United States Job Description: 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: - 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.

• Supports U.S. Customs and Border Protection. • 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.

• Supports U.S. Customs and Border Protection. • 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, focusing 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.

• Responsible for data mining, data preparation, and reporting. • Prepare and conduct analyses and studies, needs/gaps assessments. • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. • Documents and summarizes the results and develops and recommended solutions to the customers problems. • Prepares big data, implements data models developed by others, and provides database support for customer solutions. • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Role Description Supports U.S. Customs and Border Protection. 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 - 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 quantitative or mathematical discipline. - At least three (3) years of direct experience in machine learning. - Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related 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. - Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA). - Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Benefits - Competitive Salary and Benefits. - Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. - Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. - Remote Work: in an industry of declining remote work opportunities. - People-Focused Culture: we prioritize work-life balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. - Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.