Premier Staffing Partners

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist II on a 12-month W2 contract in Knoxville, TN. Key skills include SQL, Tableau, and Python. Requires 5+ years in Data Analytics, experience with strategic modeling, and strong communication abilities.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
496
-
🗓️ - Date
July 7, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Knoxville, TN
-
🧠 - Skills detailed
#NumPy #Pandas #Data Modeling #SQL Queries #Python #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Libraries #Leadership #Licensing #Data Science #Automation #Data Quality #Tableau #Data Manipulation #Scala #Databases #Datasets #ML (Machine Learning) #Visualization #Data Management
Role description
Data Scientist II (12-Month W2 Contract with potential extension) Hybrid | Knoxville, TN We are seeking an experienced Data Scientist for a 12-month contract to support a technology organization by delivering advanced analytics, strategic insights, and executive-level reporting. This role will partner closely with Technology Operations and other business stakeholders to develop data-driven solutions that improve decision-making and operational performance. The ideal candidate has a strong background in SQL, Tableau, data modeling, and analytics, along with the ability to communicate complex findings to both technical and non-technical audiences. You will have the opportunity to work on high-visibility analytics initiatives supporting technology leadership. Projects may include technology operations dashboards, contractor spend analytics, employee engagement reporting, software licensing analytics, and network traffic insights. This is an excellent opportunity for a data professional who enjoys turning complex datasets into meaningful business insights while partnering with technology leaders on strategic initiatives. Responsibilities: Strategic Modeling & Analytics • Design and implement data models that support strategic technology initiatives. • Analyze contractor spend, workforce trends, operational metrics, and other business data. • Deliver actionable insights that influence business and technology decisions. Data Visualization & Reporting • Develop and maintain interactive Tableau dashboards for technology leadership. • Create meaningful reporting and analytics around employee engagement and operational performance. • Present analytical findings clearly to business leaders and stakeholders. Data Management • Write and optimize complex SQL queries to extract, transform, and analyze large datasets. • Collaborate with cross-functional teams to ensure data quality, consistency, and accessibility. • Support scalable reporting and analytics solutions. Advanced Analytics • Apply statistical analysis and machine learning techniques where appropriate. • Utilize Python to perform data manipulation, modeling, automation, and predictive analytics. Business Partnership • Collaborate with Technology Operations and other business teams to understand reporting and analytics needs. • Translate business requirements into actionable data solutions. • Build strong relationships with stakeholders and effectively communicate recommendations. Required Qualifications • 5+ years of experience in Data Analytics or Data Science. • Strong SQL skills with experience querying relational databases. • Experience building dashboards and visualizations using Tableau. • Experience with strategic data modeling and business analytics. • Strong analytical, critical thinking, and problem-solving abilities. • Excellent communication skills with the ability to explain technical concepts to non-technical audiences. • Experience analyzing workforce data, contractor spend, operational metrics, or similar business data. Preferred Qualifications • Experience with Python (Pandas, NumPy, scikit-learn, or similar libraries). • Experience developing machine learning or predictive analytics models. • Experience working in fast-paced, cross-functional environments. • Experience supporting Technology Operations or enterprise technology organizations.