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# Data Scientist

- **Company:** Kforce Inc.
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Mining, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Sql Optimization, Pytorch, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Tools for Reporting, Unsupervised Learning
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/29e340fa-6ce2-4cc7-bb6b-f931a96e6c18

## About the Role

* Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative discipline
 * GIS background
 * 5+ years of experience in data science, machine learning, predictive analytics, or a similar role
 * Hands-on experience building and validating machine learning models using Python
 * Strong understanding of supervised and unsupervised learning techniques
 * Experience with statistical analysis, predictive modeling, and data mining methodologies
 * Advanced SQL skills and experience working with large datasets
 * Experience using visualization and reporting tools such as Power BI
 * Excellent communication skills with the ability to translate technical findings into business recommendations

Preferred:

 * Master's degree in a quantitative field preferred
 * Experience working in AWS, Azure, or other cloud-based environments
 * Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost
 * Familiarity with predictive analytics, forecasting, optimization, customer analytics, or operational analytics use cases
 * Exposure to MLOps concepts, including model deployment, monitoring, CI/CD pipelines, and model lifecycle management

## Description

Kforce has a client that is seeking a Data Scientist in Phoenix, AZ., * Data Scientist will develop, test, and optimize machine learning models to solve business challenges and generate actionable insights

 * Perform statistical analyses, forecasting, hypothesis testing, and predictive modeling on large and complex datasets
 * Partner with business stakeholders to identify opportunities where data science can improve decision-making and operational performance
 * Conduct exploratory data analysis to uncover patterns, trends, and opportunities
 * Design experiments and evaluate outcomes to support strategic initiatives
 * Build and maintain analytical datasets, reports, dashboards, and visualizations
 * Present findings and recommendations to both technical and non-technical audiences
 * As a Data Scientist, you will support model deployment, monitoring, and performance measurement in production environments
 * Collaborate with data engineers, analysts, and technology teams throughout the data science lifecycle
 * Stay current on emerging machine learning and AI techniques and recommend practical applications