Sr Data Scientist- Operations Research Full-time NEW

Sr Data Scientist- Operations Research

The Global Deliver – Innovative Medicines team is currently seeking a skilled Sr Data Scientist- Operations Research to join our team. This role will focus on enhancing our analytics portfolio within IM (Innovative Medicines) Global Deliver through advanced modeling and simulation techniques. The ideal candidate will leverage their expertise in data science to perform simulations to project future scenarios in our Deliver Network and model the trade-offs in the design of our network.

Key Responsibilities:

Simulation & Modeling:

• Simulate different scenarios based on variability in supply and demand.
• Model flow of products across the distribution network (incl. different modes of transportation).
• Model the operations of the nodes in the network (incl. capacity, capability, etc).
• Model different trade-off parameters like service / cost / capacity / network / resilience

Business and Technical Support:

• Support users in adopting the tools.
• Put processes in place to maintain and expand the models.
• Collaborate with the technical teams on development and support.
• Uphold Johnson & Johnson's Credo and Leadership Imperatives in all interactions, ensuring a collaborative and values-driven working environment.

Qualifications:

Education:

• Master's in Data Science, Statistics, Computer Science or Supply Chain.

Experience:

• Minimum of 4 years of experience in data science or analytics roles, preferably within the pharmaceutical or logistics sectors.
• Consistent track record of developing simulation and modeling in supply chain networks.

Technical Skills:

• Proficiency in programming languages such as Python for data analysis and modeling.
• Experience with supply chain optimization tools like Lyric, AIMMS, etc.
• Experience with Operations Research (optimization algorithms).

Soft Skills:

• Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
• Strong problem-solving skills and the ability to work independently as well as collaboratively across teams.

Preferred Qualifications:

• Knowledge of pharmaceutical regulations related to distribution and transportation.
• Familiarity with machine learning algorithms and their application in logistics.

Required Skills:

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

The anticipated base pay range for this position is: $109,000.00 – $174,800.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time – 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time – up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period 10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year