Healthcare Analytics Data Scientist | ML & Visualization

Henry Ford Health System; Detroit (MI); On-site; USD 110,000 - 145,000; Full time

Job summary

Henry Ford Health System in Detroit seeks a Data Scientist, Healthcare Analytics to collaborate with the Senior Data Scientist and business analysts. You will work with diverse data sources to build analytic models using machine-learning techniques and present findings to business users.

We value experience with cloud data, SQL, and visualization tools. The role emphasizes effective communication and a collaborative approach across teams.

Qualifications

• BS in Statistics, Mathematics, Econometrics, Operations Research, Public Health, or Epidemiology or related field.
• MS degree preferred.
• 3+ years of professional work experience.
• 2+ years in US Healthcare data analyses.
• 2+ years with predictive analytics using Python, R or SAS.
• Advanced SQL skills with Oracle/SQL Server.
• Experience with Tableau/Power BI for visualization.
• Experience with Rshiny, GGPlot, Qlik, Alteryx, Flask, D3 for data storytelling.

Responsibilities

• Assist Senior Data Scientist and analysts in understanding data science needs from business users.
• Work with multiple data sources to build analytic models using machine-learning techniques.
• Collaborate with IT to source data from proper locations for model building.
• Develop project deliverables and documentation for data science work.
• Present findings to both business and non-technical audiences.

Skills

Machine learning

Statistical analysis

Python

R

SQL

Data storytelling

Education

Bachelor's degree in Statistics/Mathematics/Econometrics/Operations Research/Public Health/Epidemiology

MS degree preferred

Tools

Tableau

Power BI

Oracle

SQL Server

Cloud Big Data Stack

Rshiny

GGPlot

Qlik

Alteryx

Flask

D3

Job description

Henry Ford Health System in Detroit seeks a Data Scientist, Healthcare Analytics to collaborate with the Senior Data Scientist and business analysts. You will work with diverse data sources to build analytic models using machine-learning techniques and present findings to business users.

We value experience with cloud data, SQL, and visualization tools. The role emphasizes effective communication and a collaborative approach across teams.