Data Scientist
Job in
Phoenix, Maricopa County, Arizona, 85083, USA
Listed on 2026-10-10
Listing for:
KForce
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Key Responsibilities:
* 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 Requirements
* 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, Tensor Flow, 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
Job Type Contract Compensation
60 - $95
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