Lead Data Scientist

Henry-Ford-Health-2; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Henry Ford Health in Detroit is seeking a Lead Data Scientist, Healthcare Analytics to architect and deliver data science solutions across systems and care settings.

You will lead a team, collaborate with stakeholders, and present insights to executives, using Python, R, and visualization tools to drive improvement in patient outcomes and operational efficiency.

Qualifications

• Undergraduate BS degree in statistics, mathematics, econometrics, operations research, public health, or epidemiology (MS/PhD preferred).
• 5+ years of professional work experience in data science or analytics.
• 3+ years of predictive, forecasting, and optimization work using Python, R, or SAS.
• 2+ years of quantitative data analysis in US healthcare.
• 1+ year with cloud Big Data Stack for data gathering and modelling.
• Strong SQL skills with RDBMS like SQL Server or Oracle.
• Experience with data visualization in Power BI, R Shiny, GGPlot, etc.
• Excellent communication and storytelling skills; team collaboration.

Responsibilities

• Lead design and implementation of healthcare data science solutions.
• Collaborate with leaders, stakeholders, and analysts to gather needs.
• Present findings to technical and non-technical audiences.
• Guide projects in an agile environment.

Skills

Statistical analysis

Machine learning

Data analytics

Communication

Team leadership

Agile methodologies

Education

BS in Statistics

BS in Mathematics

BS in Econometrics

BS in Operations Research

BS in Public Health

BS in Epidemiology

MS/PhD preferred

Tools

Python

R

SAS

SQL

Power BI

R Shiny

ggplot

Qlik

Alteryx

Flask

D3

Cloud Big Data Stack

Job description

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

GENERAL SUMMARY:

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Works/collaborates with various teams to build the solution and implement the solution in operations. Lead Data Scientist, Healthcare Analytics develops cutting edge solutions to resolve complex business problems. Skilled in using statistical techniques and good at solution architecting, design and implementing the solution. Hands on in using a variety common analytical and AI tools. Will present findings in a compelling manner to system leaders, technical and non-technical audience. The position requires a team lead mindset who is ready to lead and deliver the projects using agile methodology.

Qualifications

EDUCATION/EXPERIENCE REQUIRED:

• Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. Master¿s degree or PhD degree is preferred.
• Five plus (5+) years of professional work experience.
• Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS.
• Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry.
• One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL Server, Oracle etc. Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
• Experience working with data visualization tools or Data Visualization Designers in Power BI. Also, experience with data visualization for analytic models in Rshiny,
• GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the datastory to business users to foster adoption of analytic outputs created preferred.
• Strong communication and presentation skills.
• Effective communication and storytelling skills.
• Passion for continuous learning and contributing to hands on development.
• A true team player. Collaborative mindset for effective communication across teams.