Associate Scientific Director, Manufacturing Analytics

Bristol Myers Squibb

Devens, MA, US
Devens - ma - us: $170,650 - $206,793; madison - g...
50% onsite
Data analytics for manufacturing operations
Develop and deploy data solutions
Product owner for data solutions
Drive decision-making excellence, cost discipline and operational improvements in manufacturing through data analytics, models, and algorithms

Job Summary

  • Drive decision-making excellence, cost discipline and operational improvements in manufacturing through data analytics, models, and algorithms.
  • Define, productionize, and roll out data solutions for manufacturing across the organization, acting as product owner/manager.
  • Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment, offering a wide variety of competitive benefits, services and programs.

Matching Summary

Drive decision-making excellence, cost discipline and operational improvements in manufacturing through data analytics, models, and algorithms.

Salary

Devens - MA - US: $170,650 - $206,793; Madison - Giralda - NJ - US: $159,490 - $193,259; New Brunswick - NJ - US: $159,490 - $193,259; Bonus/Equity: Additional incentive cash and stock opportunities (based on eligibility) may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits

Skills & Requirements

Must-have

  • Data analytics for manufacturing operations
  • Develop and deploy data solutions
  • Product owner for data solutions
  • Lead data scientist role
  • Hands-on LLM experience (ChatGPT, Claude)
  • Hands-on Python, SQL, or R experience
  • Hands-on PowerBI, Tableau, or Spotfire experience

Nice-to-have

  • Cultivate data science technology stack
  • Implement automation for data science
  • Drive innovation with LLMs
  • Troubleshoot data pipelines
  • Process improvement projects
  • Cross-site harmonization initiatives
  • Coach and mentor team members

Key Requirements

  • 10+ years experience in Biotech or Pharma
  • Bachelor's degree in STEM field
  • Experience building discrete event models
  • Data-savviness
  • Master's degree in Data Science or Statistics a plus
  • Knowledge of SIMIO, FlexSim, SIMCA a plus
  • Knowledge of gradient boosting algorithms a plus
  • Knowledge of Statistics a plus
  • Knowledge of Lean / Six Sigma a plus

Work Rights

Not specified

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