Position Details
About this role
Sr. Engineer - Data analyzes large manufacturing data to derive actionable insights, build analytics solutions, and deploy digital twins to optimize processes. Works in healthcare/manufacturing analytics with cross-functional teams.
Key Responsibilities
- Find new valuable insights from large data sets; develop and deploy analytics solutions; create automated digital twins; collaborate with cross-functional teams; support digital transformation projects
Technical Overview
Technical scope includes Python and R for analytics, data visualization via Power BI/Tableau, and ETL/data pipelines for ingesting data from historians, MES, and sensors to support decision-making.
Ideal Candidate
The ideal candidate is a senior data engineer/scientist with a PhD or equivalent experience, proficient in Python and R, and skilled in Power BI/Tableau for healthcare analytics. They should have 3+ years of experience building analytics solutions, data visualization, and data pipelines in a pharma/healthcare setting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or R, No healthcare or pharma data experience, Inability to work in Indianapolis onsite
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