POSITION SUMMARY (HYBRID)
The AvantGarde, LLC (AG)Data Scientist (Human Capital Analytics & Workload Modeling) supports the U.S. Capitol Police client in designing and implementing a robust architecture for human capital (HC) data analytics. The contractor will play a pivotal role in developing and maturing interactive dashboard solutions, creating and analyzing the data surrounding workload models, and ingesting and analyzing large-scale human capital and workload datasets. The position requires proficiency in data architecture, analytics tools such as Tableau, and a strategic understanding of Federal human resources operations and workforce planning. This position will work as part of a team of other contract HC Consultants, Data Analysts and Federal employees. The Data Scientist will work part-time hours (up to 10-20 hours per week) and will be required to work onsite periodically at the USCP office on 499 South Capitol Street, SW, Washington, DC.
🔹 ESSENTIAL DUTIES AND RESPONSIBILITIES
1. Data Architecture & Engineering
Design and build scalable architecture for integrating HC and workload datasets.
Apply best practices for data ingestion, transformation, normalization, and storage.
Maintain data integrity, quality, and governance.
Identify and analyze appropriate data to support project objectives.
Guide and coach project teams on analytical approaches.
2. Workload Modeling & Data Analysis
Develop quantitative workload models to support staffing and resource planning.
Use Python, R, SQL, or similar tools for data analysis to uncover trends and insights.
Partner with HR experts to validate workload drivers and assumptions.
3. Dashboard Development & Data Visualization
Create and maintain Tableau dashboards focused on workload, workforce, and performance metrics.
Develop interactive visualizations for decision-makers and planners.
Integrate versioning and automation for updates and reports.
4. Strategic Analytics Support
Translate policies and operational goals into analytical solutions.
Recommend data-driven strategies for optimizing performance and workforce use.
Contribute to assessments and initiatives in workforce planning and strategic human capital development.
Assist in project deliverables tied to strategic direction, change, and project management.
5. Collaboration & Stakeholder Engagement
Collaborate with HR, IT, and program teams to align data work with agency priorities.
Develop technical documentation, user guides, and training materials.
Present findings and recommendations to leadership and key stakeholders.
🔹 QUALIFICATIONS, KNOWLEDGE AND SKILLS
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, or a related field.
5+ years of experience in data science, ideally within a government or public sector human capital environment.
Strong background in building and managing data pipelines and data architecture for analytics.
Proficient in tools such as Tableau, Power BI, SQL, Python, and/or R.
Proven experience with workforce or workload modeling, or similar quantitative HR modeling.
Skilled at translating complex data concepts into terms understandable by non-technical audiences, including managers and executives.
Experience with HR systems, workforce analytics, or Federal human capital data is a strong plus.
Familiar with Federal human capital policies, OPM data standards, or HC maturity models.
Experience using database management systems like Oracle or PostgreSQL.
Certification in Tableau or data engineering preferred.
Familiarity with agile development methodologies.
Skilled in developing clear and visually engaging PowerPoint presentations.
Comfortable working in a fast-paced environment on multiple projects with overlapping deadlines.
Excellent verbal and written communication skills, with the ability to convey complex ideas clearly and persuasively.
Other Specifications:
Hybrid or remote work may be available depending on client needs.