Data Scientist
Role Overview
Develop data-driven solutions for organizational decision-making, operational tracking, and process automation.
Use Power Platform technologies and data modeling to provide visibility into initiatives, accountability, and program performance.
Key Skills for This Role
Full Job Posting
Role overview
Develop data-driven solutions for organizational decision-making, operational tracking, and process automation.
Use Power Platform technologies and data modeling to provide visibility into initiatives, accountability, and program performance.
Analytics, integration, and automation
- Design Power BI dashboards and interactive visualizations for objectives, performance metrics, and operational data.
- Connect SharePoint lists and other data sources to reporting tools through data models.
- Build structured data environments, project tracking mechanisms, and synchronized data across platforms.
- Create Power Automate workflows for intake, approvals, status tracking, alerts, and notifications.
Applications and program tracking
- Design data collection tools, forms, and scalable applications that consolidate input from multiple stakeholders.
- Track infrastructure projects, procurement, and other initiatives; monitor progress and enable proactive follow-up.
- Translate ambiguous stakeholder requirements into technical solutions and iterate based on feedback.
- Maintain and troubleshoot dashboards, workflows, and applications; improve performance and usability.
Minimum requirements
- Active DoD Secret Clearance.
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or related field, or equivalent experience.
- 3+ years in data analytics, automation, or business intelligence.
- Hands-on Microsoft Power Platform experience with Power BI, Power Automate, and Power Apps.
- Experience with SharePoint or similar data storage and collaboration tools.
- Experience designing data models and interactive dashboards; strong analytical and problem-solving skills.
- Ability to manage multiple projects and deliver in a fast-paced environment.
Preferred qualifications
- Data modeling, ETL concepts, or data pipeline design experience.
- Familiarity with HTML or other scripting languages; enterprise tracking systems and performance dashboards.
- Knowledge of workflow automation best practices and process optimization.
- Government, defense, or regulated-environment experience; exposure to AI/ML or advanced analytics.
- Strong communication skills and ability to explain technical solutions to non-technical stakeholders.
Compensation
- Listed base compensation range is $80,000–$100,000; the employer notes the range may vary based on location, experience, skills, qualifications, and internal equity.
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