AI Data Scientist Senior

Overview

The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes. You will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings, translate technical concepts into actionable insights for stakeholders, and mentor junior data scientists.

• Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
• Collaborates with cross-functional teams to define project scope, objectives, and success metrics.
• Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes.
• Leverages deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications.
• Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
• Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness.
• Oversees the deployment of models into production environments, ensuring seamless integration with existing systems.
• Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision-making and guide project direction.
• Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders.
• Facilitates data-driven decision-making by effectively communicating the value and impact of AI models.
• Mentors and guides junior data scientists, fostering their professional growth and technical expertise.
• Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
• Contributes to developing best practices and standards for data science and machine learning within the organization.
• Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation.
• Experiments with new approaches and technologies to enhance model performance and expand the organization s data science capabilities.

• Education:
  
  Bachelor s Degree-Related Field of Study (Required)
• Experience:
  
  Minimum of 4 years-Relevant experience (Required)
• Certification(s) and License(s)

Work is typically performed in an office environment. We offer healthcare benefits for full time and part time positions from day one, including vision, dental, and domestic partners. The organization supports collaboration and a diverse workforce.

Our purpose and values emphasize kindness, excellence, learning, innovation, and safety. We are an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.