Digital Analytics Expert for Supply Chain Optimization
hace 3 días
Johnson & Johnson, a leading healthcare company, is seeking an experienced Digital Analytics Expert to join its Innovative Medicine Global Deliver team. This role will focus on enhancing distribution and transportation operations through advanced modeling and simulation techniques.
About the RoleThis is a challenging opportunity for a skilled data scientist to drive improvements in key performance indicators (KPIs) such as perfect order, dock-to-stock, and other SCOR metrics. The ideal candidate will leverage their expertise in data science to develop predictive models that optimize distribution networks and transportation logistics.
The successful candidate will work collaboratively with cross-functional teams to ensure alignment on performance metrics and foster a data-driven culture in operations. Key responsibilities include:
- Developing and implementing predictive models to optimize distribution networks and transportation logistics
- Conducting simulations to assess cost, capacity, and network efficiencies
- Analyzing historical data to identify trends and patterns that inform strategic decision-making
In addition, the Digital Analytics Expert will support the introduction of new products by analyzing market trends and forecasting demand. They will also design models for monitoring temperature-sensitive products throughout the supply chain and collaborate with IT and engineering teams to implement real-time tracking systems.
To be successful in this role, the candidate should possess a Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field. A minimum of 8 years of experience in data science or analytics roles, preferably within the pharmaceutical or logistics sectors, is required. The ideal candidate should have proven track record of developing models that drive operational improvements.
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience. This figure is based on industry standards and takes into account the level of expertise required for the role.
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