D&G Solutions seeks a Data Scientist to develop statistically defensible representations of logistics-network behavior for modeling, simulation, and decision support. The role focuses on statistical analysis—not data pipelines or software infrastructure—working with OR Analysts and SMEs to communicate confidence and uncertainty.
The candidate will explore distributions, fit models, and validate results, with remote work and potential travel to client sites as needed. Must be a U.S.
#J-18808-LjbffrRemote Data Scientist - Uncertainty Analytics in Logistics in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.