Lead Data Scientist - Henry Ford Health

Overview

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In this role you will lead the design and delivery of data science solutions for healthcare analytics, collaborating with stakeholders and cross-functional teams. You will architect solutions, mentor teammates, and drive agile delivery from concept to operations. You’ll translate complex analyses into impactful business insights for system leaders and non-technical audiences. This role offers the opportunity to shape cutting-edge analytics that resolve complex problems and advance the organization’s data-driven mission.

Responsibilities
• Lead the architecture, definition, and design of data science solutions
• Collaborate with data scientists, analysts, and stakeholders to implement solutions
• Work with cross-functional teams to deploy analytics in operations
• Develop cutting-edge analytics to solve complex business problems
• Communicate findings to system leaders and diverse audiences
• Lead and deliver projects using agile methodologies

Key requirements
• BS degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, Epidemiology or related field
• Master's or PhD preferred
• 5+ years of professional experience
• 3+ years in predictive, forecasting, and optimization using Python, R, or SAS
• 2+ years in quantitative data analyses within US healthcare
• 1+ year experience with cloud Big Data Stack for data gathering, cleansing, preparation, and modeling xklufbp
• Advanced SQL skills with RDBMS (SQL Server, Oracle, etc.)
• Expertise in machine learning, data analytics, pattern recognition, and predictive modeling
• Experience with data visualization tools or designers (Power BI) and visualization for analytic models (RShiny, GGPlot, Qlik, Alteryx, Flask, D3)
• Strong communication and presentation skills
• Effective storytelling abilities
• Collaborative team player
• Python
• R
• SAS