Senior Data Scientist
myGwork - LGBTQ+ Business Community
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Benefits offered by this job
Job summary
Qualifications
- 2-3 years of work experience is required.
- Strong expertise in Python libraries and deploying models in production.
- Knowledge of advanced analytics in manufacturing, especially healthcare.
Responsibilities
- Gather business requirements and translate them into data-science solution prototypes.
- Build predictive model prototypes to support business KPI improvements.
- Monitor trends on new modeling approaches to improve digital solutions.
Skills
Education
Tools
Job description
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This job is with Johnson & Johnson, an inclusive employer and a member of myGwork – 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 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 https://www.jnj.com
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 NumPy, SciPy, 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 NoSQL 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 engineers to operationalize models via data pipelines.
- Expertise in various Operations Research models (linear, nonlinear, mixed‑integer programming), simulation models, and parameter estimation models.
- Experience with supply‑chain modeling in the healthcare industry (pharmaceuticals/medical devices) is highly desired.
- Familiarity with Azure or AWS Cloud components such as Databricks and big data frameworks like Spark, PySpark, etc.
- Intermediate to high expertise in Tableau or similar visualization tools for deploying dashboards.
- Familiarity and experience with ERP systems like SAP, including handling unstructured data sources.
None listed separately.
- Advanced Analytics
- Business Intelligence (BI)
- Coaching
- Collaborating
- Critical Thinking
- Data Analysis
- Database Management
- Data Privacy Standards
- Data Reporting
- Data Savvy
- Data Visualization
- Econometric Models
- Process Improvements
- Technical Credibility
- Technologically Savvy
- Workflow Analysis
$109,000.00 - $174,800.00
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 residing in Colorado – 48 hours per calendar year; for employees residing in 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
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time‑Off – 80 hours per calendar year
Additional information can be found through the link below.
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee‑benefits
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