Job SummaryThe Senior Data Scientist is responsible for leading data science projects and initiatives, mentoring junior team members, and developing innovative and more complex solutions to address clinical and business challenges. The Senior Data Scientist role requires strong technical, analytical, and problem-solving skills, coupled with the ability to communicate effectively with stakeholders and guide decision-making processes based on data-driven insights.
Individual Job Responsibilities:
Leading the development and implementation of complex data science solutions, designing, implementing, and evaluating advanced machine learning models and algorithms, evaluating the effectiveness of models, algorithms, and optimizing their performance.
Leadership Job Responsibilities: Mentoring and guiding Associate and Intermediate Data Scientists, collaborating with various business and clinical teams to align projects with organizational objectives and contributing to strategic planning and decision-making processes.
Essential Functions- Seeks appropriate data sources and ensures data quality for projects, and identifies new data sources to improve existing projects
- Develops advanced descriptive, inferential, and predictive models, and enhances and fine tunes existing models
- Independently creates data visualizations and uses storytelling methods to communicate model results and findings to senior department leadership
- Actively pursues opportunities to grow their business acumen and skills from more experienced team members. Provide support and recommendations to less experienced team members to enhance their technical skills
- Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle and machine learning operations (MLOps) to ensure reproducibility of findings and effective model deployment.
QualificationsRequired
- Master's Degree or equivalent training in a quantitative discipline - Data Science, Computer Science, Statistics, Mathematics, or related field.
- Similar certified online education or work experience will be considered on a case-by-case basis
- At least 5 years of relevant experience in a quantitative discipline health care, data science, statistics, or a related field
- Experience working with revenue data and analytics (sales, marketing, customer success, etc.)
Preferred
- Experience working with SAS
- Experience working with AWS Sagemaker
- Experience working with Microsoft Fabric
Primary LocationSITE - Corewell Health Place - 100 Corewell Drive NW - Grand Rapids
Department NameIntegrated Data and Analytics - Corporate
Employment TypeFull time
ShiftDay (United States of America)
Weekly Scheduled Hours40
Hours of Work8:00 a.m. to 4:30 p.m.
Days WorkedMonday to Friday
Weekend FrequencyN/A
CURRENT COREWELL HEALTH TEAM MEMBERS - Please apply through Find Jobs from your Workday team member account. This career site is for Non-Corewell Health team members only. 
