Data Scientist

• Data Scientist
• Location: Knoxville, TN (Hybrid)
• 12-month contract

• Key Responsibilities
• Strategic Modeling & Analysis
• Design and implement data models to support tech-specific strategic initiatives
• Perform advanced analytics on contractor spend, workforce trends, and operational metrics
• Deliver insights that influence executive-level decisions
• Data Visualization & Reporting
• Develop and maintain interactive dashboards in Tableau for TechOps stakeholders
• Enhance reporting on internal survey data (e.g., Officevibe) to deliver deeper organizational insights
• Present findings in a clear, concise, and impactful manner to senior leadership
• Data Management & Engineering Collaboration
• Write and optimize complex SQL queries to extract, transform, and analyze large datasets
• Work with cross-functional teams to ensure data accuracy, consistency, and accessibility
• Support data pipeline improvements and scalable analytics solutions
• Machine Learning & Advanced Analytics
• Apply machine learning techniques where applicable to improve forecasting, segmentation, and predictive insights
• Use Python (preferred) for data manipulation, modeling, and automation
• Stakeholder Engagement
• Partner with TechOps, Finance, and HR teams to understand business needs and translate them into data-driven solutions
• Demonstrate executive presence and strong communication skills when presenting to leadership

• Required Qualifications
• 5+ years of experience in data analytics / data science
• 5+ years in SQL and experience working with relational databases
• 3+ years of Python (pandas, NumPy, scikit-learn, etc.)
• 3+ years building dashboards and visualizations using Tableau
• Demonstrated experience in strategic data modeling and analysis
• Strong critical thinking and problem-solving skills
• Ability to communicate complex data insights to non-technical audiences
• Experience analyzing workforce data, contractor spend, or operational metrics

• Preferred Qualifications
• Experience with machine learning models and predictive analytics
• Experience working in fast-paced, cross-functional environments

Top Tasks:

• Data Analysis: Analyzing technology org health / tech operations analytics
• Data Science: Creating actionable insights from data
• Stakeholder Management: presenting to Sr. technology leaders