RandomTrees
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "$XX/hour." Key skills include supervised machine learning, deep learning, and experience with Dataiku. A minimum of 2 years in model deployment is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 6, 2025
🕒 - 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
United States
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🧠 - Skills detailed
#Regression #Dataiku #Deployment #Deep Learning #Data Science #Classification #ML (Machine Learning) #Model Evaluation
Role description
• Strong technical expertise in supervised machine learning and/or deep learning.
• Classification and regression ML models.
• Proven ability to deploy and productionalize models (minimum 2 years of hands-on experience in deploying ML or deep learning models in real-world environments).
• Ability to work autonomously on:
- Translating business problems into ML solutions.
- Feature engineering based on business ideation.
- Experimentation, model evaluation, and testing for robustness.
- Deployment within the client’s Dataiku architecture (experience with Dataiku is a must)
• Life sciences experience is not required, but strong technical and deployment experience is essential
• Strong technical expertise in supervised machine learning and/or deep learning.
• Classification and regression ML models.
• Proven ability to deploy and productionalize models (minimum 2 years of hands-on experience in deploying ML or deep learning models in real-world environments).
• Ability to work autonomously on:
- Translating business problems into ML solutions.
- Feature engineering based on business ideation.
- Experimentation, model evaluation, and testing for robustness.
- Deployment within the client’s Dataiku architecture (experience with Dataiku is a must)
• Life sciences experience is not required, but strong technical and deployment experience is essential
