Sr. Engineer - Data (r2-r3)

Eli Lilly UK

Indianapolis, IN, US
Base: $115,658.00 py; bonus/equity: compyny bonus ...
Machine learning techniques application
Advanced statistical techniques utilization
Cross-functional team collaboration
Eli Lilly and Company seeks a Sr. Engineer - Data (R2-R3) to support the manufacturing organization by finding new valuable and actionable process insights through modeling, transforming, and analyzing large data sets from different automated manufacturing system sources

Job Summary

  • Eli Lilly and Company seeks a Sr. Engineer - Data (R2-R3) to support the manufacturing organization by finding new valuable and actionable process insights through modeling, transforming, and analyzing large data sets from different automated manufacturing system sources.
  • Develop and deploy advanced analytics solutions aimed at supporting decision-making, monitoring, and optimizing process outcomes.
  • Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits; life insurance and death benefits; and well-being benefits.

Matching Summary

Eli Lilly and Company seeks a Sr. Engineer - Data (R2-R3) to support the manufacturing organization by finding new valuable and actionable process insights through modeling, transforming, and analyzing large data sets from different automated manufacturing system sources.

Salary

Base: $115,658.00 per year; Bonus/Equity: Company bonus eligibility depending on performance; Benefits: Comprehensive benefits including 401(k), pension, medical, dental, vision, flexible spending accounts, life insurance, and well-being programs

Skills & Requirements

Must-have

  • machine learning techniques application
  • advanced statistical techniques utilization
  • cross-functional team collaboration
  • data visualization tools usage
  • data pipelines and ETL workflows
  • pharmaceutical manufacturing experience

Nice-to-have

  • digital twins implementation
  • automated manufacturing system data analysis
  • telecommuting flexibility
  • employee resource groups participation

Key Requirements

  • Bachelor’s degree in Business Analytics or related field
  • 2 years experience with machine learning techniques
  • 2 years experience with advanced statistical techniques
  • 2 years cross-functional team experience
  • 2 years pharmaceutical manufacturing or healthcare experience
  • 1 year experience with statistical computer languages
  • 1 year experience with data visualization tools
  • 1 year experience developing data pipelines or ETL workflows

Work Rights

Not specified

Tailored Resume

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