Maganti IT Resources, LLC

Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist position in Phoenix, AZ, on a long-term contract. Requires a Bachelor’s degree, 5+ years of data science experience, advanced SQL, and Python skills. Must be USC or H4-EAD. Preferred: Master’s degree and cloud experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Data Mining #Data Science #Model Deployment #ML (Machine Learning) #Azure #PyTorch #SQL (Structured Query Language) #Forecasting #Supervised Learning #Mathematics #Computer Science #BI (Business Intelligence) #Unsupervised Learning #Visualization #Cloud #Statistics #Datasets #Monitoring #TensorFlow #Microsoft Power BI #Deployment #Predictive Modeling #AWS (Amazon Web Services) #Python
Role description
Data Scientist Phoenix, AZ 85054 Long Term Contract MUST BE USC,H4-EAD Required Qualifications: • Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline. • 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 Qualification: • Master s degree in a quantitative field. • Experience working in AWS, Azure, or other cloud-based environments. • Exposure to MLOps concepts, including model deployment, monitoring, CI/CD pipelines, and model lifecycle management. • 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.