To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.
Key job responsibilities
Design and develop mathematical models to optimize inventory placement and product flows.
Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
Manage several, high impact projects simultaneously.
Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
Basic Qualifications
Experience working as a Data Scientist
Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
Experience documenting modeling for technical and business leaders
Experience working with data engineers and business intelligence engineers collaboratively
Experience working with scientists, economists, software developers, or product managers
Practical experience in several of the following areas: Linear Programming, Dynamic Programming, Stochastic Optimization, Robust Optimization, Black Box Optimization, Machine Learning.
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