Lead Data Scientist

Henry Ford Health; Detroit (MI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Henry Ford Health seeks a Lead Data Scientist for Healthcare Analytics to develop solutions for complex business problems. Candidates need a strong background in statistical techniques and experience with data analytics tools. This role requires excellent communication skills and teamwork, focusing on predictive analytics in the US healthcare sector.

The ideal applicant must have a collaborative mindset and a passion for continuous learning and development. Applicants with experience in machine learning and data visualization using tools like Power BI will excel.

Qualifications

• 5+ years of professional work experience required.
• 3+ years experience with predictive and optimization problem solving.
• 2+ years experience in the US Healthcare industry.

Responsibilities

• Architect, define, and design data science solutions.
• Collaborate with teams to implement solutions.
• Present findings to technical and non-technical audiences.

Skills

Statistical techniques

Data analytics tools

Machine learning

Predictive modelling

Power BI

SQL

Education

Undergraduate degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, or Epidemiology

Master's degree or PhD degree (preferred)

Tools

Python

R

SAS

SQL Server

Oracle

Rshiny

GGPlot

Qlik

Alteryx

Flask

D3

Job description

General Summary

Lead Data Scientist, Healthcare Analytics works with system leaders, business stakeholders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and designs 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.

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.
• A true team player. Collaborative mindset for effective communication across teams.

Additional Information

• Organization: Corporate Services
• Department: Digital Enablement-A3
• Shift: Day Job
• Union Code: Not Applicable