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Data ScientistMV Transportation • United States
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Data Scientist

MV Transportation
  • US
    United States
  • US
    United States
Apply Now

About

Overview:
If you reside in California, please see our
California Applicant Privacy Policy
for more information about our data handling practices and your data rights. 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: 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:
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 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. What Success Looks Like 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.
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