Process Engineering Data Scientist

Eli Lilly

Carolina, Puerto Rico
$52,500 - $154,000; compyny bonus; comprehensive b...
On-site
Analyze complex data sets
Automate process-monitoring programs
Develop predictive models
Eli Lilly is seeking a Process Engineering Data Scientist for their facility in Carolina, Puerto Rico, focusing on data analysis, automation, and predictive modeling to enhance pharmaceutical manufacturing processes. The ideal candidate will have a strong background in engineering, data science, and experience in pharmaceutical operations while being bilingual in English and Spanish

Job Summary

  • As a Process Engineering Data Scientist at Lilly del Caribe, Inc., Carolina, Puerto Rico, you will analyze complex data sets, automate process-monitoring programs, develop predictive models, conduct multivariate analysis, leverage generative AI, and identify insights that drive business decisions.
  • You will collaborate with cross-functional teams across the enterprise to understand business challenges, develop hypotheses, and validate those hypotheses with data.
  • The Process Engineering function is part of the Engineering Department and provides technical expertise and support to Dry Product Operations (DPO).

Matching Summary

Match Score: 85

Eli Lilly is seeking a Process Engineering Data Scientist for their facility in Carolina, Puerto Rico, focusing on data analysis, automation, and predictive modeling to enhance pharmaceutical manufacturing processes. The ideal candidate will have a strong background in engineering, data science, and experience in pharmaceutical operations while being bilingual in English and Spanish.

Salary

$52,500 - $154,000; Company bonus; Comprehensive benefit program

Skills & Requirements

Must-have

  • analyze complex data sets
  • automate process-monitoring programs
  • develop predictive models
  • conduct multivariate analysis
  • leverage generative AI
  • pharmaceutical manufacturing operations

Nice-to-have

  • strong analytical and problem-solving skills
  • excellent communication and attention to detail
  • strong leadership and organizational capabilities
  • ability to work with diverse data sources
  • familiarity with data visualization tools
  • ability to thrive in a fast-paced, collaborative environment

Key Requirements

  • Ph.D. in Engineering preferred, or Bachelor’s/Master’s degree in Engineering with at least 5 years of experience in data analysis and digitalization
  • 5+ years of experience in pharmaceutical manufacturing operations
  • Bilingual (English/Spanish)
  • EIT license required at a minimum (CIAPR membership)
  • Experience with machine learning algorithms and statistical modeling
  • Proficiency in programming languages

Work Rights

Must be authorized to work in the United States

Tailored Resume

Cover Letter