Data Scientist

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., 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:

• OneLake, Lakehouses, 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. Qualifications, * Operations trust and actively use analytics and AI solutions.

• Agentic AI is adopted intentionally, safely, and cross functionally-not in silos.
• Microsoft Fabric enables shared, consistent decision making across teams.
• Leadership views this role as a connector between strategy, technology, and day to day operations.

MV Transportation is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, physical or mental disability, veteran or military status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

Where permissible under applicable state and local law, applicants may be subject to a pre-employment drug test and background check after receiving a conditional offer of employment.

• 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 statistical modeling, combined with ML.
• Strong programming skills in Python; experience integrating OR solvers and dashboards.
• Experience delivering solutions in cloud based, enterprise environments.
• Exceptional communication and stakeholder management skills.

Agentic AI-Specific Requirements

• Experience leading or designing agentic AI systems across multiple teams or functions.
• Ability to explain agentic concepts clearly to operations, leadership, IT, and risk teams.

• Strong judgment in distinguishing when:

• Deterministic OR is sufficient
• ML adds value
• Agentic AI is appropriate

Commitment to responsible AI deployment, particularly in safety , equity , and compliance sensitive transportation systems.

Preferred Qualifications

• Experience in public transit, paratransit, logistics, or large fleet operations.
• Familiarity with Microsoft Azure and Fabric based analytics ecosystems.
• Experience influencing AI governance, operating models, or centers of excellence.
• Prior leadership in enterprise transformation or modernization initiatives.