Data Science Lead
About The Position
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Requirements
- Master's degree in Computer Science, Operations Research, Statistics, or related field and 3 years of experience in the job offered or in a Data Science Lead-related occupation.
- Developing mathematical programming models for process optimization, including algorithm development
- Supply chain and operations management processes, including planning, scheduling, and inventory management
- Developing LP (Linear Programming) and MILP (Mixed-Integer Linear Programming) models
- Simulation techniques including discrete-event and Monte Carlo simulation
- Data mining algorithms including machine learning techniques: regression, decision trees, probability networks, association rules, clustering, neural networks, and Bayesian models
- Large volume healthcare datasets and data analysis workflows
- Scientific programming language Python or Julia
- Pandas Data processing library
- Process optimization tools including Gurobi, CPLEX, and BARON
- Operations Research tools FICO, Gurobi, AIMMS, and LLamasoft
- At least one of the following cloud Data and Analytics solutions: Cloudera or Azure
- Data reporting and visualization software/tools
Responsibilities
- Build models for supply chain improvement with a focus on network and plan optimization.
- Obtain business intelligence and support data-driven decision-making in operations and supply chain.
- Draw on a wide palette of optimization modeling, mathematics, statistics, AI/ML, and programming techniques to analyze data and translate into business insights, including clear scenario analysis and execution plan.
- Contribute technical depth in driving high-impact deployment of innovative solutions, including analytics-based decision support across the Supply Chain organization at strategic, tactical and operational levels.
- Perform statistical analysis of structured and unstructured data sets.
- Develop data-driven mathematical models with a focus on long term decision-making process.
- Develop computational solutions in scripting languages such as Julia and Python.
Benefits
- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year (may vary by state)
- 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
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
- Medical
- Dental
- Vision
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What This Job Offers
Job Type
Full-time
Career Level
Senior
