Senior Specialist, Data Science

Merck•Rahway, NJ

7d•$129,000 - $203,100•Hybrid

About The Position

We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the Data Science & Scientific Informatics (DSSI) organization. This team sits at the intersection of clinical science, AI, and real-world application—delivering scalable data science solutions that directly support clinical decision-making and operations. You will play a critical, high-visibility role as the primary U.S.-based data science partner, translating complex clinical and business questions into impactful AI solutions.

Requirements

Bachelor’s degree in mathematics, statistics, data science, computer science, or related field
Hands-on experience with machine learning and data science using Python or R
Proven ability to translate business or scientific questions into actionable models and insights
Strong communication skills, with the ability to explain complex concepts to non-technical audiences
Self-driven and comfortable operating independently in a globally distributed team environment
Animal Vaccination
Business Intelligence (BI)
Collaborative Development
Computer Engineering
Computer Science
Database Design
Data Engineering
Data Modeling
Data Science
Data Visualization
Disease Prevention
End to End Management
Information Technology (IT) Support
IT Project Lifecycle
Machine Learning (ML)
Prioritization
Python (Programming Language)
Software Development
Stakeholder Relationship Management
Veterinary Medicine
Waterfall Model
Working Independently

Nice To Haves

Advanced degree (PhD or Master’s + 3+ years industry experience) preferred

Responsibilities

Build & deploy clinical AI solutions: Design, develop, and deliver machine learning models and AI-driven applications using real-world clinical data.
Act as a strategic partner to stakeholders: Serve as the first point of contact for U.S.-based business and IT teams, translating clinical and operational needs into data science solutions.
Drive use case development and prioritization: Facilitate workshops and working sessions to identify, shape, and advance high-value AI opportunities.
Translate complex AI into business impact: Clearly communicate technical concepts and model insights to non-technical stakeholders to enable adoption.
Collaborate across global teams: Partner closely with data scientists, MLOps, and engineering teams across the U.S. and Prague to deliver scalable solutions.

Benefits

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days
annual bonus
long-term incentive

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