Data Science Specialist

7 days ago


Union, West Virginia, United States WVU Medicine Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at WVU Medicine. As a key member of our Artificial Intelligence and Analytics department, you will play a critical role in developing and implementing AI-driven solutions to improve healthcare outcomes.

Key Responsibilities
  • Design and develop machine learning models to analyze complex healthcare data and identify patterns and trends.
  • Collaborate with cross-functional teams to integrate AI solutions into our clinical and operational workflows.
  • Develop and maintain large-scale machine learning pipelines to support predictive analytics and risk scoring.
  • Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to drive innovation and improvement in our solutions.
  • Work closely with data scientists, software engineers, and subject matter experts to identify and prioritize high-value opportunities for AI-driven solutions.
Requirements
  • Bachelor's degree in Computer Science, Mathematics, or related field, and 5+ years of experience in machine learning and AI development.
  • Or Master's degree or PhD in a related field, and 2+ years of experience in machine learning and AI development.
  • Strong programming skills in languages such as Python and Java.
  • Experience with cloud-based services and systems, including Amazon ML, Microsoft Azure, and Google Cloud ML.
  • Knowledge of software engineering practices and best practices for the full software development life cycle.
  • Applied statistics skills and ability to communicate complex technical topics to both technical and non-technical audiences.
Preferred Qualifications
  • Experience with healthcare and/or finance.
  • Experience in data science, mathematics, and software development.
  • Publications and presentations at top-tier peer-reviewed conferences or journals.
  • Successful Kaggle competition with top ranking.
Working Environment

The work environment is a normal office environment with a collaborative and dynamic team.

Skills and Abilities
  • Knowledge of software engineering practices and best practices for the full software development life cycle.
  • Applied statistics skills.
  • Good communication skills, including technical writing, presentations, and the ability to meaningfully communicate technical topics with peers.
  • Ability to clearly and concisely communicate with technical and non-technical customers both verbally and in writing.
  • Thorough understanding of the principles of data security, particularly personally-identifiable information and protected health information.


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