Healthcare Analytics Lead Data Scientist

Henry Ford Health; Detroit (MI); On-site; USD 120,000 - 150,000; Full time

Job summary

Henry Ford Health in Detroit seeks a Lead Data Scientist, Healthcare Analytics to partner with system leaders and stakeholders to define and implement advanced analytics solutions. You will architect models, lead a team, and drive deployment across care and operations with an emphasis on actionable insights.

The role requires hands-on experience with Python/R/SAS, data visualization and cloud data stacks, plus strong communication to translate data into business impact.

Qualifications

• 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.
• Experience with data visualization tools such as Power BI, Rshiny, GGPlot, Qlik, Alteryx, Flask, D3.

Responsibilities

• Lead Data Scientist, Healthcare Analytics architects, defines and designs data science solutions.
• Collaborates with system leaders, business stakeholders and analysts to implement solutions in operations.
• Presents findings to system leaders and communicates with technical and non-technical audiences.

Job description

Henry Ford Health in Detroit seeks a Lead Data Scientist, Healthcare Analytics to partner with system leaders and stakeholders to define and implement advanced analytics solutions. You will architect models, lead a team, and drive deployment across care and operations with an emphasis on actionable insights.

The role requires hands-on experience with Python/R/SAS, data visualization and cloud data stacks, plus strong communication to translate data into business impact.