Sr. Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include ML, Python, and NLP, with a requirement of 5+ years in ML development and healthcare experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 8, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Minneapolis, MN
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🧠 - Skills detailed
#Data Science #NumPy #Deployment #Pandas #Security #NLP (Natural Language Processing) #ML (Machine Learning) #Computer Science #AI (Artificial Intelligence) #Python #Compliance #Datasets
Role description
Job Description Responsibilities β€’ Collaborate with cross-functional teams (legal, compliance, AI development) on AI methods, including Generative AI and ML. β€’ Document findings and present results to stakeholders. β€’ Develop best practices and guidance for responsible AI. β€’ Automate testing processes using Python and analyze model performance. β€’ Identify risks related to PII/PHI exposure in AI systems. β€’ Maintain test datasets and improve testing methodologies. β€’ Stay updated on AI/ML advancements and incorporate relevant findings. β€’ Mentor junior team members and foster a culture of continuous learning. β€’ Assist with Red Team testing for conversational AI systems. Required Qualifications β€’ BS in Computer Science, Applied Math, or related field with 5+ years of experience. β€’ 5+ years in ML system development, deployment, and maintenance. β€’ 5+ years of experience with advanced NLP models and frameworks (e.g., scikit-learn, Pandas, NumPy). β€’ Strong understanding of ethical AI, fairness, and privacy considerations. β€’ Excellent analytical, problem-solving, and communication skills. Preferred Qualifications β€’ Experience with healthcare systems (claims, call centers, etc.). β€’ Ability to translate business needs into technical solutions. β€’ Experience with large language models and adversarial testing. β€’ Familiarity with regulatory frameworks (e.g., HIPAA) and basic information security principles.