Data Scientist

DMS International (DMS) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian, and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers. At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders. DMS seeks candidates that possess and display the attributes that reflect our Core Values of: Quality in delivering solutions, Leadership, Innovation, Teamwork, Integrity in conduct Responsiveness to our customer’s mission DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply. Job Description DMS is seeking a Data Scientist to support one of our clients’ operational initiatives and provide strategic recommendations to enhance existing processes. The Data Scientist will deliver advanced analytics and decision-support capabilities aligned with Career and Leadership Development objectives. The Data Scientist will apply statistical analysis, predictive modeling, and data visualization techniques to workforce and training data. This role is critical in enabling data-driven decision-making, supporting continuous improvement efforts, and producing clear, actionable performance reports for leadership and key stakeholders. This is an independent contractor position engaged on an as-needed, project-by-project basis, depending on client demand. Responsibilities Collect, integrate, clean, validate, and analyze workforce and training data from multiple sources. Design and implement statistical models and predictive algorithms to support workforce planning, forecasting, and program evaluation. Develop and maintain dashboards, reports, and data visualizations that communicate actionable insights to leadership and stakeholders. Conduct ad hoc analyses to address emerging workforce and training requirements and produce rapid-turn analytical products. Advise on data governance, privacy requirements, ethical data use, and documentation standards. Collaborate with staff and stakeholders to define analytic requirements, measures of effectiveness, and reporting cadence. Deliverables (As Requested): Cleaned datasets, data dictionaries, and repeatable analytic workflows. Workforce/training metrics and performance measures (definitions and calculation logic). Predictive models/forecasts and concise model documentation (assumptions, validation, limitations). Dashboards and recurring reports for leadership and program stakeholders. Ad hoc analytic briefs, slides, and decision-support memos. Recommendations for data governance and privacy/ethical data practices. Minimum Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Operations Research, Economics, or related field (or equivalent relevant experience). Demonstrated experience delivering advanced analytics on complex datasets (workforce/HR/training data preferred). Strong proficiency in Python and/or R and SQL for data extraction, transformation, and analysis. Experience building dashboards and visualizations for executive audiences. Ability to translate analytical findings into clear recommendations for non-technical stakeholders. Preferred Qualifications Master’s degree or higher in a relevant field. Experience supporting federal/government workforce or training programs; familiarity with evaluation methods and performance measurement. Experience with cloud-based analytics environments and reproducible workflows. Required Skills & Competencies Statistical rigor; sound model selection and validation practices. Data storytelling and executive-ready communication. Stakeholder engagement and requirements translation. Documentation discipline and quality assurance. Professional discretion; privacy and ethics-first mindset. Required/Typical: Python (pandas, numpy, scikit-learn), and/or R (tidyverse) SQL (querying/ETL support) Power BI (or Tableau, as applicable) Microsoft Excel (advanced functions/pivots) Git / version control; Jupyter Notebooks (or equivalent) As Applicable (Environment-Dependent): Data platforms (e.g., SQL Server, PostgreSQL) Collaboration/documentation tools (e.g., MS Teams, SharePoint, Confluence-equivalent) Security / Compliance Language The Data Scientist shall maintain compliance with Federal organizational policies for data handling, privacy, and information security. The contractor shall ensure proper access control, secure data storage, and responsible use of sensitive workforce and training information consistent with a Confidential clearance requirement. Performance Standards Deliver accurate, reproducible analyses and clearly documented results. Provide timely dashboards/reports aligned with defined metrics and stakeholder needs. Communicate findings with clarity, including limitations, assumptions, and actionable recommendations. Position Type As-Needed (Task Order Support) Location Remote/Hybrid (as authorized) / On-site (as required)