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: 1. Data Analysis: Analyzing technology org health / tech operations analytics 1. Data Science: Creating actionable insights from data 1. Stakeholder Management: presenting to Sr. technology leaders