Senior Data Scientist

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This job is with Johnson & Johnson, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 Med Tech, 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.

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Data Analytics & Computational Sciences

Data Science

Scientific/Technology

Horsham, Pennsylvania, United States;
Raritan, New Jersey, United States

SENIOR DATA SCIENTIST

To maintain our #1 Healthcare supply chain serving our patients, customers and parents—and remaining agile in the new digital world—J&J is looking to build capability in developing supply chain solutions that support the above initiatives.

This hybrid position may be based at any Johnson & Johnson office in New Jersey (Titusville, Horsham, or Raritan). If you are passionate about leveraging data science to address real‑world challenges and foster innovation in a global environment, we encourage you to apply.

The role requires both an in‑depth knowledge of existing advanced analytics practices and approaches—including Machine Learning, Mathematical Optimization, Simulation, data pipelines, and advanced visualization—and the ability to influence and convince others, customize and work in a multidisciplinary environment to drive business solutions. Knowledge of advanced analytics applied to manufacturing, especially pharmaceutical/healthcare/medical device manufacturing, is highly desirable.

The candidate will report to the director of J&J SC Data Science and will:

• Gather business requirements from partners and translate them into digital & data‑science solution prototypes involving predictive analytics/simulation components, validate the prototypes, and work closely with product development teams to scale them.
• Build predictive/prescriptive model prototypes encoding complex business processes for deployment of solutions supporting business KPI improvement.
• Ensure prototypes are scaled optimally with respect to adherence to requirements, solution cost, and agility to flex the solutions.
• Work closely with vendors to deploy third‑party algorithmic components into our digital platforms.
• Assist digital product managers in new launch—designing user tests for product validation, developing metrics and product analytics to monitor and optimize products.
• Assist digital product managers in sustaining and optimizing existing digital & data‑science products and platforms, continuously improving deployed models by testing new generations of models and evaluating optimal implementation strategies (e.g., open source vs vendor sourced).
• Monitor external trends on new modeling approaches & solution capabilities to continuously improve deployed digital solutions in targeted supply‑chain areas such as value‑chain management, planning, customer analytics, and supplier risk management.

• Master’s degree in Operations Research, Econometrics, Financial Engineering, Systems Engineering or other STEM disciplines. At a minimum, 2‑3 years of work experience is required.
• Demonstrated competence in translating business requirements into digital solution features and data‑science models.
• Strong expertise in Python libraries such as Num Py, Sci Py, Pandas, scikit‑learn, Pyomo, Simpy, etc., and proven experience deploying models built with these libraries in production.
• Expertise in SQL and querying databases for exploratory data analysis and data profiling.
  
  Experience with No
  
  SQL databases such as Graph Databases (e.g., Neo4J) is preferred.
• Experience deploying open‑source models into production within cloud‑based digital stacks; ability to work with data…