Senior ML Scientist - Generative AI for Manufacturing

Merck & Co.; West Point (PA); Hybrid; USD 129,000 - 203,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Vacation days

Sick leave

Compassionate leave

Job summary

Merck & Co., Inc. is seeking a Senior Data Scientist to advance manufacturing analytics with advanced machine learning, deep learning, and generative AI. You will prototype and deploy analytics products, collaborating with IT, engineering, and operations to scale within production systems.

Responsibilities span ideation to adoption, with emphasis on end-to-end analytics apps, data workflows, and stakeholder alignment. A strong software mindset and experience in Agile environments are required.

Qualifications

• Experience designing and deploying ML/AI models in production environments.
• Strong knowledge of ML/DL algorithms and practical experimentation.
• Familiarity with AI governance, reproducibility, and ethics considerations.

Responsibilities

• Design and develop quantitative methods using ML, DL, and generative AI to drive business decisions.
• Apply DS techniques to create tools for process monitoring, optimization, and predictive analytics.
• Develop end-to-end digital solutions, automating data workflows and integrating into existing systems.

Skills

ML modeling

Generative AI

Python

Data analysis

Experiment tracking

Communication

Software engineering

Agile

Education

Bachelor9s degree

PhD preferred

MS in data science

Tools

scikit-learn

Keras

TensorFlow

PyTorch

Docker

Databricks

Job description

Merck & Co., Inc. is seeking a Senior Data Scientist to advance manufacturing analytics with advanced machine learning, deep learning, and generative AI. You will prototype and deploy analytics products, collaborating with IT, engineering, and operations to scale within production systems.

Responsibilities span ideation to adoption, with emphasis on end-to-end analytics apps, data workflows, and stakeholder alignment. A strong software mindset and experience in Agile environments are required.