Data Scientist Senior

Corewell Health • Grand Rapids, MI

2d • Onsite

About The Position

The 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 include 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. As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence.

Requirements

• Master's Degree or equivalent training in a quantitative discipline – Data Science, Computer Science, Statistics, Mathematics, or a related field
• Similar certified online education or work experience will be considered on a case-by-case basis
• 5 or more years of relevant experience in health care, data science, statistics, or a related field
• Demonstrated ability to lead projects, mentor junior team members, and develop complex data-driven solutions
• Advanced proficiency with Python or R
• Intermediate proficiency with SQL
• Hands-on experience with Snowflake
• Experienced at taking data and crafting narratives that enable stakeholders to make data-informed decisions
• Proficient in gathering requirements and communicating effectively with stakeholders

Nice To Haves

• Experience working in a Revenue Analytics (Sales, Customer Success, Corporate Development, or Marketing) function
• Experience working with AWS Sagemaker or Microsoft Fabric
• Advanced proficiency with dbt, Dagster, Airbyte, or Airflow

Responsibilities

• 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.

Benefits

• Comprehensive benefits package to meet your financial, health, and work/life balance goals.
• Learn more here .
• On-demand pay program powered by Payactiv
• Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more!
• Optional identity theft protection, home and auto insurance, pet insurance
• Traditional and Roth retirement options with service contribution and match savings
• Eligibility for benefits is determined by employment type and status

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees