Henry Ford Health

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 of 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.

PRINCIPLE DUTIES AND RESPONSIBILITIES:

• Architects, constructs, and design easy and expandable solution to a given problem.
• Converts a one-liner definition of a problem into a workable solution.
• Works independently with leaders/stakeholders to understand the complex requirements and be able to design/present a solution.
• Leads and guides team members to develop data science programs, algorithms.
• Able to multi-task and be able to prioritize projects pipe-line based on business needs.
• Able to access structured or non-structured data from internal or external data sources.
• Leverages appropriate data science techniques to drive the creation of insights from data.
• Combines data extraction, preparation, and data cleansing with model training and evaluation.
• Stays current on data science and analytics tools, techniques, and practices.
• Able to implement swift ML/NLP/LLM solutions.
• Works on an Agile (Scrum) project team.
• Guides the team as appropriate during the project.
• Deploys machine learning models in cloud environments, specifically Microsoft Azure, ensuring scalability and robustness.
• Monitors and evaluates the performance of deployed models, ensuring they meet business needs and comply with governance standards.
• Implements and manages automated processes for model retraining, validation, and monitoring in production environments.
• Engages in continuous assessment and review of deployed models, providing feedback.

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 data story 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.
• Collaborative mindset for effective communication across teams.

Additional Information

• Organization: Corporate Services
• Department: Helios Enter Data Wrhse IT Exp
• Shift: Day Job
• Union Code: Not Applicable

Additional Details

This posting represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. It should be understood, therefore, that incumbents may be asked to perform job-related duties beyond those explicitly described above.

Overview

Henry Ford Health partners with millions of people on their health journey, across Michigan and around the world. We offer a full continuum of services – from primary and preventative care to complex and specialty care, health insurance, a full suite of home health offerings, virtual care, pharmacy, eye care and other health care retail. With former Ascension southeast Michigan and Flint region locations now part of our team, Henry Ford’s care is available in 13 hospitals and hundreds of ambulatory care locations. Based in Detroit, Henry Ford is one of the nation’s most respected academic medical centers and is leading the Future of Health: Detroit, a $3 billion investment anchored by a reimagined Henry Ford academic healthcare campus. Learn more at henryford.com/careers.

Benefits

The health and overall well-being of our team members is our priority. That’s why we offer support in the various components of our team’s well-being: physical, emotional, social, financial and spiritual. Our Total Rewards program includes competitive health plan options, with three consumer-driven health plans (CDHPs), a PPO plan and an HMO plan. Our team members enjoy a number of additional benefits, ranging from dental and eye care coverage to tuition assistance, family forming benefits, discounts to dozens of businesses and more. Employees classified as contingent status are not eligible for benefits.

Equal Employment Opportunity/Affirmative Action Employer

Equal Employment Opportunity / Affirmative Action Employer Henry Ford Health is

committed to the hiring, advancement and fair treatment of all individuals without regard to

race, color, creed, religion, age, sex, national origin, disability, veteran status, size, height,

weight, marital status, family status, gender identity, sexual orientation, and genetic information,

or any other protected status in accordance with applicable federal and state laws.