

Acro Service Corp
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist focused on AI Operations & Governance, offering a contract length of "X months" at a pay rate of "$X/hour". Required skills include AI, ML, compliance, and cloud integration experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
624
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🗓️ - Date
May 9, 2026
🕒 - 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
Chattanooga, TN
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🧠 - Skills detailed
#Deployment #Monitoring #Data Science #ML (Machine Learning) #Compliance #Cloud #Observability #AI (Artificial Intelligence)
Role description
This posting is for a Sr. Data Scientist position in AI Operations & Governance. The responsibilities of this role include:
• Proficiency in AI, Machine learning (ML), AI development, deployment, and implementing AI/ML, LLMs, GenAI/Agentic AI applications, tools, and technology and to support operational efficiency, risk mitigation, and compliance.
• Knowledge of AI Architecture for implementation of AI solutions and end-to-end AI pipelines, securely integrating with enterprise systems, and leveraging cloud-based platforms and AI Governance and MLOps practices.
• Developing and maintaining AI governance frameworks, including evaluation AI solutions and technologies, managing AI solutions across the AI lifecycle, model monitoring, bias detection, and explainability.
• Collaborating with cross-functional teams to ensure AI solutions are compliant, secure, and align with regulatory, ethical, and operational standards.
• Supporting the development of AI observability tools and pipelines to ensure transparency and accountability in AI-driven decisions.
This posting is for a Sr. Data Scientist position in AI Operations & Governance. The responsibilities of this role include:
• Proficiency in AI, Machine learning (ML), AI development, deployment, and implementing AI/ML, LLMs, GenAI/Agentic AI applications, tools, and technology and to support operational efficiency, risk mitigation, and compliance.
• Knowledge of AI Architecture for implementation of AI solutions and end-to-end AI pipelines, securely integrating with enterprise systems, and leveraging cloud-based platforms and AI Governance and MLOps practices.
• Developing and maintaining AI governance frameworks, including evaluation AI solutions and technologies, managing AI solutions across the AI lifecycle, model monitoring, bias detection, and explainability.
• Collaborating with cross-functional teams to ensure AI solutions are compliant, secure, and align with regulatory, ethical, and operational standards.
• Supporting the development of AI observability tools and pipelines to ensure transparency and accountability in AI-driven decisions.






