Data Scientist
Listed on 2026-06-09
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager
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Responsibilities:We are seeking a Data Scientist with strong industry experience to operate as a cross‑functional leader at the intersection of transportation operations, operations research, AI, and business strategy . This role partners deeply with Operations, Technology, Product, Finance, and Executive Leadership to design and deploy analytics and AI solutions that materially improve service reliability, efficiency, and decision‑making.
In addition to advanced modeling, this role serves as the enterprise champion for Agentic AI adoption , ensuring autonomous and semi‑autonomous systems are introduced responsibly, collaboratively, and with measurable operational impact.
Cross‑Functional Operating Model
This role does not sit in isolation within data science. Instead, you will:
- Co‑create solutions with Operations and Planning leaders
- Partner with IT, Data Engineering, and Platform teams on scalable cloud architectures
- Collaborate with Product and Innovation teams on user‑centric decision tools
- Engage Finance and Procurement on cost, ROI, and optimization tradeoffs
- Advise Executive Leadership on AI strategy, automation risk, and operational impact
You are expected to influence without authority and act as a unifying technical and strategic voice across functions.
Key Responsibilities
Transportation Operations & OR (Business‑Embedded)
- Work directly with operations, dispatch, and planning teams to understand constraints, tradeoffs, and real‑world decision processes.
- Design and deploy operations research and analytics solutions for:
- Scheduling and rostering
- Fleet sizing and allocation
- Demand forecasting and capacity planning
- Service reliability, on‑time performance, and cost optimization
- Balance mathematical optimality with operational practicality and change management.
Agentic AI Champion (Enterprise‑Wide)
- Act as the cross‑functional champion for Agentic AI , driving alignment across technical, operational, and leadership teams.
- Identify opportunities where agent‑based systems can augment planners, dispatchers, analysts, and executives.
- Design agentic workflows that integrate:
- Planning and reasoning
- Optimization tools and simulation engines
- Data platforms, APIs, and business rules
- Human‑in‑the‑loop controls for safety‑critical decisions
- Establish shared standards for governance, observability, safety, and accountability of agentic AI across departments.
Microsoft Fabric & Cloud‑First Enablement
- Partner with data engineering and platform teams to deliver solutions on Microsoft Fabric , including:
- One Lake, Lake houses, and Warehouses
- Fabric Notebooks (Python / Spark)
- Power BI semantic models for operational decision support
- Ensure analytics and AI outputs are consumable by both technical and non‑technical users .
- Influence cloud architecture decisions to support real‑time and large‑scale transportation analytics.
Research‑to‑Operations Translation
- Bring PhD‑level rigor into applied, cross‑functional problem solving.
- Translate advances in:
- Operations research
- Machine learning
- Reinforcement learning
- Agentic and autonomous systems
into solutions that can be operationalized and sustained. - Produce internal frameworks, playbooks, and reference architectures used across teams.
Strategic Influence & Enablement
- Serve as a trusted advisor to senior leaders on:
- AI investment decisions
- Automation risk and readiness
- Tradeoffs between cost, service quality, and equity
- Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the organization.
- Facilitate cross‑functional forums or working groups around analytics, AI, and automation.
Required Qualifications
- Masters/PhD in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field.
- 7+ years of industry experience working in transportation, logistics, mobility, or complex operational environments.
- Demonstrated success operating in highly cross‑functional settings .
- Deep expertise in optimization, simulation, and…
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