Data Scientist

Corewell Health • Grand Rapids, MI

10d • Onsite

About The Position

The Intermediate Data Scientist is responsible for designing, implementing, and evaluating data science solutions to solve clinical and business problems. The Intermediate Data Scientist will work collaboratively with cross-functional teams, mentor Associate Data Scientists, and work on projects from ideation to completion. The Intermediate Data Scientist is expected to contribute to the improvement of existing processes and methodologies. Individual job responsibilities include identifying opportunities for data-driven solutions, conducting advanced data analysis and generating insights, designing, implementing, and evaluating machine learning models and algorithms, collaborating with cross-functional teams to integrate data science solutions. Leadership responsibilities include mentoring and supporting Associate Data Scientists.

Requirements

• Bachelor's Degree or equivalent Training in a quantitative discipline – mathematics, computer science, statistics, physics, econometrics, or a related discipline. Similar certified online education or work experience will be considered on a case-by-case basis
• 2 years of relevant experience
• 2 - 5 years of relevant training in a quantitative discipline health care, data science, statistics, or a related field equivalent. Demonstrated proficiency may also be considered.
• Proven track record of applying data science techniques to real-world problems and delivering results. Similar certified online education or work experience will be considered on a case-by-case basis

Nice To Haves

• Master's Degree or equivalent Data Science, Analytics, Computer Science, Statistics, or related field

Responsibilities

• Seeks appropriate data sources and ensures data quality for projects
• Develops new descriptive, inferential, and predictive models, and enhances and fine tunes existing models
• Analyzes and interprets data sets across various domains, including exploratory data analysis (EDA), advanced statistical analyses, and predictive analytics
• Independently creates data visualizations and uses storytelling methods to communicate model results and findings to stakeholders effectively
• 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