Associate Director, Workplace/fm Data Science Manager

Merck & Co., Inc.

Base: $173,200.00 - $272,600.00; bonus/equity: ann...
Hybrid (3 days on-site, 1 day remote)
5+ years complex analytical project delivery
Python software engineering foundation
Generative ai solution implementation beyond poc
Merck & Co., Inc. is seeking an Associate Director, Workplace/FM Data Science Manager to lead the development of analytics solutions for Workplace Services and Facilities Management. This hybrid role requires expertise in advanced analytics techniques and a strong ability to translate complex business challenges into actionable insights

Job Summary

  • This role leads the development of analytics solutions that deliver actionable insights and improved operational outcomes across the global workplace and facilities portfolio.
  • The successful candidate will manage and develop a team of 1-2 data scientists while acting as a trusted analytics advisor to global stakeholders.
  • Employees are eligible for an annual bonus, long-term incentives, and a comprehensive benefits package including medical, dental, vision, and retirement plans.

Matching Summary

Match Score: 85

Merck & Co., Inc. is seeking an Associate Director, Workplace/FM Data Science Manager to lead the development of analytics solutions for Workplace Services and Facilities Management. This hybrid role requires expertise in advanced analytics techniques and a strong ability to translate complex business challenges into actionable insights.

Salary

Base: $173,200.00 - $272,600.00; Bonus/Equity: Annual bonus and long-term incentive eligible; Benefits: Medical, dental, vision, 401(k), paid holidays, vacation

Skills & Requirements

Must-have

  • 5+ years complex analytical project delivery
  • Python software engineering foundation
  • Generative AI solution implementation beyond PoC
  • LLM integration with enterprise systems
  • Cloud architecture (Azure or AWS)
  • Team leadership of 1-2 data scientists

Nice-to-have

  • Experience in facilities management domain
  • Strong business acumen in pharmaceutical space
  • Proven negotiation and interpersonal skills
  • Knowledge of LLMOps and MLOps concepts
  • Ability to navigate complex matrix environment

Key Requirements

  • Bachelor degree required; advanced degree preferred
  • Minimum 5 years relevant delivery experience
  • Hands-on experience designing Generative AI solutions
  • Practical knowledge of Large Language Models (LLMs)

Work Rights

Not specified

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