Data Scientist
DMS International
contract
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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.
Requirements
- 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.
- Master’s degree or higher in a relevant field (preferred).
- Experience supporting federal/government workforce or training programs; familiarity with evaluation methods and performance measurement (preferred).
- Experience with cloud-based analytics environments and reproducible workflows (preferred).
- 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.
Benefits
- DMS International is an Equal Opportunity Employer.
- We encourage individuals from all backgrounds to apply.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical modelspredictive algorithmsdata visualizationPythonRSQLdashboard developmentdata governancedata cleaning
Soft Skills
communicationstakeholder engagementrequirements translationdocumentation disciplinequality assurancedata storytellinganalytical thinkingcollaborationethical data useprofessional discretion