Hiring.Camp

Data Science Lead

Jj

·

1 week ago

Salary
$148k – $168k
Location
US287 CA Milpitas -510 Cotton wood Dr, United States of America
Workplace
Hybrid
Type
Full-time
Department
IT
Seniority
Lead
Experience
3+ years
Education
Master
Closing date
Today
Source
Workday

Description

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.

Job Function:

Strategy & Corporate Development

Job Sub Function:

Digital Strategy & Deployment

Job Category:

Professional

All Job Posting Locations:

Milpitas, California, United States of America

Job Description:

Employer:       Ethicon, Inc.

Job Title:         Data Science Lead

Job Code:        A011.4794

Job Location:  Milpitas, CA

Job Type:        Full-Time

Rate of Pay:     $148,000 - $168,000

Job Duties: 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.

May telecommute per company's policies (hybrid).

Requirements: Employer will accept a 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.

Position requires experience with:

1. Developing mathematical programming models for process optimization, including algorithm development;

2. Supply chain and operations management processes, including planning, scheduling, and inventory management;

3. Developing LP (Linear Programming) and MILP (Mixed-Integer Linear Programming) models;

4. Simulation techniques including discrete-event and Monte Carlo simulation;

5. Data mining algorithms including machine learning techniques: regression, decision trees, probability networks, association rules, clustering, neural networks, and Bayesian models;

6. Large volume healthcare datasets and data analysis workflows;

7. Scientific programming language Python or Julia;

8. Pandas Data processing library;

9. Process optimization tools including Gurobi, CPLEX, and BARON;

10. Operations Research tools FICO, Gurobi, AIMMS, and LLamasoft;

11. At least one of the following cloud Data and Analytics solutions: Cloudera or Azure; and

12. Data reporting and visualization software/tools.

This job posting is anticipated to close on 8/24/2026.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

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)).

This position is eligible to participate in the Company’s long-term incentive program.

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 period10 days

•     Volunteer Leave – 32 hours per calendar year

•     Military Spouse Time-Off – 80 hours per calendar year

•     This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.

•     For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

 

 

Required Skills:

 

 

Preferred Skills:

Skills

PythonJuliaAzureMachine LearningPandasData ScienceInventory Management

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