PRI Global

Data Scientist Only on W2 (USC or GC) No C2c

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position in Irving, Texas, on a W2 contract. Key skills include data modeling, machine learning (PyTorch, Scikit-Learn), and Jupyter notebooks. A degree in a related field and a strong AI/ML portfolio are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Corp-to-Corp (C2C)
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Jupyter #Data Analysis #ML (Machine Learning) #Tableau #Cloud #Data Science #Data Engineering #Visualization #Data Modeling #Data Governance #Data Quality #AWS (Amazon Web Services) #Mathematics #Version Control #AI (Artificial Intelligence) #PyTorch #Computer Science #Azure #BI (Business Intelligence) #Microsoft Power BI #Datasets
Role description
Data Scientist Irving, Texas (onsite) Contract Only on w2 (USC or GC) No c2c. Mandatory Skills: • Strong expertise in Data Modeling and Data Engineering. • Proficient in machine learning frameworks such as PyTorch and Scikit-Learn. • Experience with Jupyter notebooks for data analysis and model development. • Solid understanding of mathematical modeling techniques. • Ability to work with large datasets and perform data preprocessing and cleaning. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. Preferred Skills: • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models. • Experience with data visualization tools (e.g., Tableau, Power BI). • Knowledge of software development best practices, including version control and CI/CD. • Understanding of data governance and data quality principles. Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. • Strong portfolio demonstrating previous work in AI/ML projects and data modeling. • Relevant certifications in AI/ML or Data Engineering are a plus.