Job Description

DescriptionKforce has a client that is seeking a Data Scientist in Phoenix, AZ.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 applicationsRequirements* 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 recommendationsPreferred:* 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 managementJob TypeContractCompensation60 - $95

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