Data Science Lead

Johnson & Johnson Johnson & Johnson · Pharma · Milpitas, CA +1

Data Science Lead role focused on building models for supply chain improvement, network and plan optimization, and supporting data-driven decision-making using AI/ML, optimization modeling, statistics, and programming. The role involves developing mathematical models, computational solutions, and performing statistical analysis on large healthcare datasets.

What you'd actually do

  1. Build models for supply chain improvement with a focus on network and plan optimization.
  2. Obtain business intelligence and support data-driven decision-making in operations and supply chain.
  3. 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.
  4. 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.
  5. Perform statistical analysis of structured and unstructured data sets.

Skills

Required

  • Master's degree in Computer Science, Operations Research, Statistics, or related field and 3 years of experience
  • 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

What the JD emphasized

  • mathematical programming models
  • Supply chain and operations management processes
  • LP (Linear Programming) and MILP (Mixed-Integer Linear Programming) models
  • Simulation techniques
  • Data mining algorithms including machine learning techniques
  • Large volume healthcare datasets
  • Process optimization tools
  • Operations Research tools

Other signals

  • supply chain optimization
  • AI/ML
  • mathematical modeling
  • operations research