Crossing Hurdles
Data Scientist (Enterprise AI) | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Enterprise AI) with a contract length of over 6 months, offering a pay rate of $250K - $500K/yr. Key skills include expertise in machine learning, dataset design, and reinforcement learning. A Master's degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
2272
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🗓️ - Date
June 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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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
#Datasets #Data Science #Reinforcement Learning #Deployment #Scala #AI (Artificial Intelligence) #ML (Machine Learning) #Computer Science
Role description
Position: Data Scientist (Enterprise AI)
Type: Full-time
Compensation: $250K - $500K/yr
Location: Remote
Role Responsibilities
• Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
• Surface, formalize, and prioritize system failure modes in real-world deployments to enhance system reliability.
• Design high-signal datasets and evaluation protocols to target identified weaknesses in AI systems.
• Run tight experimental loops to validate hypotheses and quantify improvements in system performance.
• Produce clear, decision-oriented analyses of system behavior and performance for stakeholders.
• Develop and benchmark agentic workflows, focusing on robustness and scalability to meet enterprise needs.
Requirements
• Have a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
• Possess strong judgment for research signal quality, including data selection and evaluation design.
• Have experience designing datasets and evaluation frameworks for machine learning systems.
• Demonstrate the ability to translate ambiguous operational issues into structured research problems.
• Be familiar with reinforcement learning environments and/or agentic system evaluation.
Application Process
• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage
Position: Data Scientist (Enterprise AI)
Type: Full-time
Compensation: $250K - $500K/yr
Location: Remote
Role Responsibilities
• Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
• Surface, formalize, and prioritize system failure modes in real-world deployments to enhance system reliability.
• Design high-signal datasets and evaluation protocols to target identified weaknesses in AI systems.
• Run tight experimental loops to validate hypotheses and quantify improvements in system performance.
• Produce clear, decision-oriented analyses of system behavior and performance for stakeholders.
• Develop and benchmark agentic workflows, focusing on robustness and scalability to meet enterprise needs.
Requirements
• Have a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
• Possess strong judgment for research signal quality, including data selection and evaluation design.
• Have experience designing datasets and evaluation frameworks for machine learning systems.
• Demonstrate the ability to translate ambiguous operational issues into structured research problems.
• Be familiar with reinforcement learning environments and/or agentic system evaluation.
Application Process
• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage
