InterEx Group

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Austin, TX (Hybrid – 3 days onsite) on a 6–12 month contract-to-hire. Requires 3–5 years of experience in Data Science, strong Python and SQL skills, and a background in semiconductor manufacturing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Deployment #Databricks #SQL (Structured Query Language) #Python #Data Science #ML (Machine Learning) #Classification #Monitoring #Automation #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence)
Role description
Data Scientist Contract To Hire Location: Austin, TX (Hybrid – 3 days onsite) Contract: 6–12 Month SOW-to-Hire • Please Note: This role is only open to candidates who are authorized to work in the U.S. without sponsorship (U.S. Citizens or Green Card holders only). We're looking for a Data Scientist to join a leading manufacturing organization, developing machine learning solutions that drive supply chain optimization, predictive analytics, and AI-powered automation. What You'll Be Doing • Develop and deploy machine learning models supporting manufacturing and supply chain initiatives. • Build classification models using Random Forest, KNN, and Decision Trees. • Support the full ML lifecycle, including deployment, monitoring, and optimization. • Develop AI/ML solutions in Databricks and leverage Microsoft Copilot Studio for AI-driven automation. What We're Looking For • 3–5 years of Data Science or Machine Learning experience. • Strong experience with Python, SQL, Scikit-Learn, and Optuna. • Hands-on experience building classification models. • Experience with Microsoft Copilot Studio development and agent governance. • Experience with Databricks, ML Ops, and Unity Catalog. • Background in semiconductor or high-tech manufacturing is highly preferred. If you're interested in learning more, apply today or reach out directly for a confidential conversation.