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Job Summary

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.

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.

Qualifications

Required

+ 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

Preferred

+ 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

About Corewell Health

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.

How Corewell Health cares for you

+ Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn more here (https://careers.corewellhealth.org/us/en/benefits-new) .

+ 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

Primary Location

SITE - Corewell Health Place - 100 Corewell Drive NW - Grand Rapids

Department Name

Integrated Data and Analytics - Corporate

Employment Type

Full time

Shift

Day (United States of America)

Weekly Scheduled Hours

40

Hours of Work

8 AM - 5 PM

Days Worked

Monday to Friday

Weekend Frequency

N/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.

Corewell Health is committed to providing a safe environment for our team members, patients, visitors, and community. We require a drug-free workplace and require team members to comply with the MMR, Varicella, Tdap, and Influenza vaccine requirement if in an on-site or hybrid workplace category. We are committed to supporting prospective team members who require reasonable accommodations to participate in the job application process, to perform the essential functions of a job, or to enjoy equal benefits and privileges of employment due to a disability, pregnancy, or sincerely held religious belief.

Corewell Health grants equal employment opportunity to all qualified persons without regard to race, color, national origin, sex, disability, age, religion, genetic information, marital status, height, weight, gender, pregnancy, sexual orientation, gender identity or expression, veteran status, or any other legally protected category.

An interconnected, collaborative culture where all are encouraged to bring their whole selves to work, is vital to the health of our organization. As a health system, we advocate for equity as we care for our patients, our communities, and each other. From workshops that develop cultural intelligence, to our inclusion resource groups for people to find community and empowerment at work, we are dedicated to ongoing resources that advance our values of diversity, equity, and inclusion in all that we do. We invite those that share in our commitment to join our team.

You may request assistance in completing the application process by calling 616.486.7447.