Responsibilities
- Assesses incoming requests for predictive modeling initiatives with critical analysis.
- Evaluates incoming requests for predictive modeling initiatives with critical analysis.
- Creates detailed project specifications, including objectives, methodologies, timelines, and expected outcomes.
- Submits requests and development strategies to leadership for review, including feasibility assessments.
- Designs implementation strategies for integrating projects into daily workflows.
- Collaborates with analytics team members to extract relevant data for predictive initiatives.
- Cleans and verifies data through exploratory analysis and consultation with clinical experts and stakeholders.
- Identifies optimal predictive methods and algorithms to meet project objectives.
- Builds predictive models and designs user interfaces for pilot evaluation by requestors.
- Prepares performance evaluation reports on predictive tools for leadership and stakeholders.
- Partners with requestors to transition models into operational use.
- Finalizes production-grade applications and establishes monitoring and maintenance protocols.
- Produces user guides for production systems, including operational and maintenance procedures.
- Assumes full ownership of deployed applications, managing performance independently and escalating capacity concerns when necessary.
- Delivers predictive solutions within agreed-upon timelines set by leadership and stakeholders.
- Collaborates with analytics team members, fostering communication and understanding of roles and processes.
- Interacts professionally with health system stakeholders and responds promptly to inquiries.
- Proactively supports customer satisfaction through follow-up and engagement.
- Maintains comprehensive records of all predictive projects, from planning to monitoring.
- Writes and reviews user-facing documentation with leadership before final release.
- Ensures all code is well-documented for clarity and long-term maintainability.
- Applies version control to code and documentation, maintaining an updated central repository.
- Demonstrates strong attention to detail, organizational abilities, problem-solving, active listening, creativity, and influence.
- Leads and coordinates activities for junior data scientists.
- Provides technical training to IT staff and end users as needed.
Other
- EEO/AA/Disability/Veteran
- PHYSICAL DEMAND: NA
