Associate Data Scientist

At Henry Ford Health, we're committed to advancing health and improving lives for the millions of people we serve across Michigan and around the world. As one of the nation's leading academic health systems, we provide a comprehensive continuum of care that includes primary and preventive services, specialty and complex care, virtual care, pharmacy, home health, eye care, health insurance, and more. With 12 hospitals and hundreds of ambulatory care locations, including former Ascension Southeast Michigan and Flint Region facilities, our growing network expands access to exceptional care in the communities we serve.

Headquartered in Detroit, Henry Ford Health is helping shape the future of healthcare through the transformative Future of Health: Detroit initiative, a $3 billion investment that is redefining our academic healthcare campus and advancing innovation, research, education, and community impact.

Our work is grounded in purpose, collaboration, and belonging. We empower team members to grow their careers, contribute innovative ideas, and make a meaningful difference every day. Whether you're caring for patients, supporting operations, conducting research, or driving new solutions, you'll be part of a team united by a shared mission: delivering exceptional care, advancing health outcomes, and building healthier communities for all.

Job Description

As an Associate Data Scientist, you will assist the Data Scientist and other business analysts with working with business users to fully understand their needs for data science solutions. You will work with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine learning techniques. To achieve this, you will partner with the IT group to ensure that the data is sourced from the right location for data science model building. You will participate in the development of project deliverables, especially documentation, for data science deliverables. You'll be part of a team environment and interact with various other roles such as data engineers, business analysts and others. An ideal candidate for this position enjoys solving analytical problems and developing cutting edge solutions to business problems. The data scientist should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. The Data Scientist should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment.

Qualifications

EDUCATION AND EXPERIENCE:

• Must have an undergraduate (BS), Masters or postgraduate (MS/Ph.D.) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, Epidemiology, Data Science or related degree. Masters a plus.
• Experience involving quantitative data analyses for problem solving in US Healthcare industry preferred. Experience with predictive, forecasting, and optimization problem solving using object-oriented programming language like Python, R or SAS preferred. Knowledge on common data science libraries (Pandas, Scikit-learn, os, etc.).
• Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc.
• Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred.
• Skilled and experienced in analyzing data and have a broad understanding of core statistical and ML algorithms like multi-class classification, decision trees, support vector machine, random-forest, Gradient Boosting.
• Effective communication and story-telling skills to provide insights to business units.
• Energy and enthusiasm. Passion for learning and contributing to development.