Data Scientist
Job in
Knoxville, Knox County, Tennessee, 37955, USA
Listed on 2026-07-09
Listing for:
KPG99 INC
Full Time
position Listed on 2026-07-09
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Job Description & How to Apply Below
- 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
- Develop and maintain interactive dashboards in Tableau for Tech Ops stakeholders
- Enhance reporting on internal survey data (e.g., Office vibe) 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 Tech Ops, 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
- 5+ years of experience in data analytics / data science
- 5+ years in SQL and experience working with relational databases
- 3+ years of Python (pandas, Num Py, 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
- Experience with machine learning models and predictive analytics
- Experience working in fast-paced, cross-functional environments
- Data Analysis:
Analyzing technology org health / tech operations analytics - Data Science:
Creating actionable insights from data - Stakeholder Management: presenting to Sr. technology leaders
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