Enterprise Data Scientist

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Enterprise Data Scientist (Remote) -25-15442

SYSTEMTEC is seeking an Enterprise Data Scientist for a direct hire remote opportunity working EST hours. The Enterprise Data Scientist is responsible for advanced analytics applying statistical, mathematical, and computational models to diverse datasets to solve clinical and business problems and identify breakthrough opportunities. This position is responsible for performing sophisticated data analytics by designing, developing, and deploying quantitative models and other analytics tools.

Required Qualifications of the Enterprise Data Scientist:

• Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship or work with Third-Party agencies.
• Required Education: Master s degree in applied mathematics, computer science, engineering, statistics, or a related field required.
• 7+ years experience in Machine Learning/Artificial Intelligence tools and technologies required.
• 7+ years experience in Python or R and SQL required.
• 5+ years experience in Healthcare environment
• Remote opportunity in the following locations: VA, MD, TN, NC, FL, SC, TX, WV, GA, AR, KY

Responsibilities of the Enterprise Data Scientist:

• Develop the AI/ML strategy and roadmap driving organizational AI maturity to transformational state.
• Develop and own Responsible and Ethical AI guidelines for all embedded and custom developed models across the organization.
• Lead data science initiatives developing, deploying and maintaining predictive and prescriptive solutions using AI/ML and other advanced analytics modeling techniques.
• Develop and lead MLOps model life cycle management practice.
• Work with structured, semi-structured and unstructured clinical data to develop NLP/GenAI/LLM based tools and solutions for clinicians advancing patient care.
• Develop procedures and tools to audit and analyze model s performance and accuracy.
• Collaborate with clinicians, researchers and other stakeholders to understand domain-specific requirements and translate them into computational solutions.
• Develop AI/ML based automation solutions that optimize business workflows and processes.
• Stay updated with the latest advancements in deep learning neural networks techniques and technologies to ensure the models developed are state-of-the-art.
• Design and maintain a curriculum for coaching and training current and prospective end users to better understand how these tools can enhance business decision making capabilities.
• Mentoring and Training other Data Science team members on best practices and technologies

Work Location: Remote. Remote opportunity in the following locations: VA, MD, TN, NC, FL, SC, TX, WV, GA, AR, KY