Lead Data Scientist
Johnson & Johnson
2 months ago
Remote friendly (New Brunswick, NJ)
United States
IT
Job Duties:
- Perform advanced system simulation and optimization modeling to design large, complex pharmaceutical and medical device supply chains using operations research models.
- Gather and translate business requirements into data science solutions.
- Integrate models into end-to-end production strength solutions for deployment by business users.
- Develop new algorithms and mathematical models for supply chain optimization across manufacturing and distribution sites.
- Analyze and de-bottleneck supply chains using stochastic and statistical models.
- Deploy supply chain optimization software using Python, SQL, and Tableau.
- Develop end-to-end supply chain network simulation models using SIMIO; analyze on-time delivery risk.
- Develop supply chain digital twins using graph databases in Neo4j.
Requirements:
- Master’s degree in Industrial Engineering, Operations Research, Data Science, or related field; and 4 years of experience in the job offered or a Lead Data Scientist-related occupation.
Additional:
- May telecommute.
- Rate of pay: $140,000–$160,000; Full-time.
Benefits (time off):
- Vacation 120 hours/year; Sick time 40 hours/year (CO 48; WA 56); Holiday pay 13 days/year; Work/Personal/Family Time up to 40 hours/year; Parental leave 480 hours (within one year of birth/adoption/foster); Bereavement 240 hours (immediate) and 40 hours (extended) per year; Caregiver leave 80 hours; Volunteer leave 32 hours; Military spouse time-off 80 hours/year; medical/dental/vision and time off as provided by policy/collective bargaining.
- Perform advanced system simulation and optimization modeling to design large, complex pharmaceutical and medical device supply chains using operations research models.
- Gather and translate business requirements into data science solutions.
- Integrate models into end-to-end production strength solutions for deployment by business users.
- Develop new algorithms and mathematical models for supply chain optimization across manufacturing and distribution sites.
- Analyze and de-bottleneck supply chains using stochastic and statistical models.
- Deploy supply chain optimization software using Python, SQL, and Tableau.
- Develop end-to-end supply chain network simulation models using SIMIO; analyze on-time delivery risk.
- Develop supply chain digital twins using graph databases in Neo4j.
Requirements:
- Master’s degree in Industrial Engineering, Operations Research, Data Science, or related field; and 4 years of experience in the job offered or a Lead Data Scientist-related occupation.
Additional:
- May telecommute.
- Rate of pay: $140,000–$160,000; Full-time.
Benefits (time off):
- Vacation 120 hours/year; Sick time 40 hours/year (CO 48; WA 56); Holiday pay 13 days/year; Work/Personal/Family Time up to 40 hours/year; Parental leave 480 hours (within one year of birth/adoption/foster); Bereavement 240 hours (immediate) and 40 hours (extended) per year; Caregiver leave 80 hours; Volunteer leave 32 hours; Military spouse time-off 80 hours/year; medical/dental/vision and time off as provided by policy/collective bargaining.