Jobs via Dice
Data Scientist/AI/ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a contract position for a Data Scientist/AI/ML, focusing on machine learning, predictive modeling, and data analytics in digital farming. Key skills include data modeling and collaboration with cross-functional teams. Experience in relevant industries is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Data Science #Predictive Modeling #Data Modeling
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, eTek IT Services, Inc., is seeking the following. Apply via Dice today!
contract role
• Machine Learning and Predictive Modeling: Develop and implement ML models and predictive analytics to support various projects.
• Data Modeling and Analytics: Work on analytical engineering projects, focusing on data modeling and analytics.
• Digital Farming and Decision Science: Contribute to ML and predictive projects in the digital farming and decision science areas.
• Collaboration: Collaborate with cross-functional teams to align projects and deliver high-quality solutions.
• Flexibility: Adapt to evolving project requirements and align with the company's strategic goals.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, eTek IT Services, Inc., is seeking the following. Apply via Dice today!
contract role
• Machine Learning and Predictive Modeling: Develop and implement ML models and predictive analytics to support various projects.
• Data Modeling and Analytics: Work on analytical engineering projects, focusing on data modeling and analytics.
• Digital Farming and Decision Science: Contribute to ML and predictive projects in the digital farming and decision science areas.
• Collaboration: Collaborate with cross-functional teams to align projects and deliver high-quality solutions.
• Flexibility: Adapt to evolving project requirements and align with the company's strategic goals.
