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.
GENERAL SUMMARY:
The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works 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. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. 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.
EDUCATION/EXPERIENCE REQUIRED:
Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field.
MS degree is preferred.
Three plus (3+) years of professional work experience.
Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry.
Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS.
Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred.
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, D3, etc. used to tell the data" story to business users to foster adoption of analytic outputs created preferred.
Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
Strong communication and presentation skills.
Effective communication and storytelling skills.
Energy and enthusiasm.
Passion for learning and contributing to development. A true team player.
Collaborative mindset for effective communication across teams."