Senior Data Scientist: Generative AI & ML for Industry

Merck & Co.; Rahway (NJ); Hybrid; USD 129,000 - 203,000; Full time

Job summary

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Data Scientist to prototype and deploy advanced analytics products for the manufacturing division.

You will collaborate with IT, engineering, and operations to design scalable analytics solutions and guide projects from discovery to deployment. The role requires strong ML/DL foundations, Python expertise with scikit-learn, Keras, TensorFlow, or PyTorch, and a software‑engineering mindset.

Qualifications

• Bachelor's degree required; PhD preferred in chemical engineering, applied mathematics, or related field with data science/ML experience
• 2+ years of data science and ML projects if master's degree
• Experience with Agile methodologies and cross-functional collaboration

Responsibilities

• Design and develop quantitative methodologies using ML, DL, and generative AI to drive decisions
• Apply data science techniques for process monitoring, optimization, and predictive analytics
• Develop end-to-end digital solutions incl. automation and integration into production systems
• Engage with stakeholders to align analytics with business objectives
• Create and share domain knowledge on emerging analytics trends
• Lead the development of analytics platforms and pipelines to unlock value from insights
• Stay current with AI/ML best practices, ethics, and compliance

Skills

Machine Learning

Deep Learning

Generative AI

Python

Data Science

Agile Methodology

Cross-Functional Collaboration

Communication Skills

Software Engineering Mindset

Data Mining

Modeling & Simulations

Education

Bachelor's degree

PhD preferred in technical field

Master's in data science / related field + 2+ years

Tools

Python libraries (scikit-learn)

Keras

TensorFlow

PyTorch

Docker

AWS / Databricks

LangChain / agent tooling

Job description

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Data Scientist to prototype and deploy advanced analytics products for the manufacturing division.

You will collaborate with IT, engineering, and operations to design scalable analytics solutions and guide projects from discovery to deployment. The role requires strong ML/DL foundations, Python expertise with scikit-learn, Keras, TensorFlow, or PyTorch, and a software‑engineering mindset.