Senior Data Scientist / Advanced Analytics Consultant to support a transformation initiative for a logistics client.
This is not a Project Management or PMO role. We need someone highly hands-on with data who can take an ambiguous business question, quickly analyze large datasets, apply statistical techniques, and translate the findings into actionable business insights.
The ideal person is essentially a hands-on Data Scientist strong business problem solver logistics/supply chain understanding.
Location : Chicago area (preferred) but open to remote with travel to chicago
- Experience in transportation, logistics, supply chain, fleet or operational analytics is preferred
Examples of relevant analytics could include transportation costs, shipment/service performance, carrier or lane performance, capacity/utilization, forecasting, operational efficiency and identifying the underlying drivers impacting cost or service.
Please prioritize candidates who are hands-on, fast with data, quantitatively strong and business-oriented. We are not looking for traditional PM/PMO candidates, dashboard-only BI developers, or reporting analysts.
Ideal Profile:
- Strong hands-on experience with large and complex datasets
- Strong expertise in regression analysis, statistical modeling and hypothesis testing
- Ability to analyze correlation, causality and key business drivers
- Advanced SQL and strong Python and/or R
- Ability to independently clean, manipulate and analyze data from multiple sources
- Experience developing metrics, KPIs, predictive models and data-driven insights
- Strong business problem-solving skills and ability to go from business question data analysis insight recommendation
- Ability to clearly communicate analytical findings to senior business/transformation leaders
- Experience in transportation, logistics, supply chain, fleet or operational analytics is preferred