Senior Data Scientist, Operations Research

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $109,000–$174,800 / yr
Posted: 3 days ago
Closes: Jul 13, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k

This role $142k

$96k most similar roles pay here $227k

This role pays less than 70% of similar roles. Most pay $133,230–$198,000 — the shaded band above. At the midpoint, this role pays about $142k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 73 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 71 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Data Scientist, Operations Research

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The Global Deliver - Innovative Medicines team is hiring a Senior Data Scientist specializing in Operations Research to enhance their analytics portfolio through advanced modeling and simulation techniques. This role involves simulating various supply chain scenarios, modeling product flow across distribution networks, and optimizing trade-offs between service levels, costs, capacity, network design, and resilience. The successful candidate will also support users in adopting analytical tools, establish processes for model maintenance, and collaborate with technical teams on development efforts. Ideal candidates hold a Master’s degree in Data Science, Statistics, Computer Science, or Supply Chain, with at least four years of experience in data science roles within the pharmaceutical or logistics sectors. Proficiency in Python, supply chain optimization tools like Lyric and AIMMS, and operations research algorithms is essential, along with strong communication skills for presenting complex insights to non-technical stakeholders.

Skills

Python Lyric AIMMS Operations Research Machine Learning Supply Chain Optimization Data Analysis

What you'll do

Simulate supply chain scenarios to project future outcomes.
Model product flow across distribution networks using various transportation modes.
Analyze network node operations including capacity and capability constraints.
Develop models to optimize trade-offs between service levels, costs, and resilience.
Support users in adopting simulation tools for better decision-making.

What we're looking for

Minimum 4 years of experience in data science or analytics roles.
Expertise in simulation and modeling within supply chain networks.
Proficiency in Python for data analysis and modeling.
Experience with supply chain optimization tools like Lyric, AIMMS.
Knowledge of Operations Research and optimization algorithms.
Excellent communication skills for presenting complex insights.
Familiarity with pharmaceutical regulations related to distribution.

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