Data Scientist

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    "title": "Data Scientist",
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    "datePosted": "2026-06-05T04:00:00.000Z",
    "description": "<h2>Overview</h2>\n<p>If you reside in California, please see our California Applicant Privacy Policy for more information about our data handling practices and your data rights.</p>\n<h2>Responsibilities</h2>\n<p>We are seeking a <strong>Data Scientist with strong industry experience</strong> to operate as a <strong>cross‑functional leader</strong> at the intersection of <strong>transportation operations, operations research, AI, and business strategy</strong>. This role partners deeply with <strong>Operations, Technology, Product, Finance, and Executive Leadership</strong> to design and deploy analytics and AI solutions that materially improve service reliability, efficiency, and decision‑making.</p>\n<p> </p>\n<p>In addition to advanced modeling, this role serves as the <strong>enterprise champion for Agentic AI adoption</strong>, ensuring autonomous and semi‑autonomous systems are introduced responsibly, collaboratively, and with measurable operational impact.</p>\n<p> </p>\n<p><strong>Cross‑Functional Operating Model</strong></p>\n<p>This role does <strong>not</strong> sit in isolation within data science. Instead, you will:</p>\n<ul>\n <li>Co‑create solutions <strong>with Operations and Planning leaders</strong></li>\n <li>Partner with <strong>IT, Data Engineering, and Platform teams</strong> on scalable cloud architectures</li>\n <li>Collaborate with <strong>Product and Innovation teams</strong> on user‑centric decision tools</li>\n <li>Engage <strong>Finance and Procurement</strong> on cost, ROI, and optimization tradeoffs</li>\n <li>Advise <strong>Executive Leadership</strong> on AI strategy, automation risk, and operational impact</li>\n</ul>\n<p>You are expected to influence without authority and act as a unifying technical and strategic voice across functions.</p>\n<p> </p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Transportation Operations & OR (Business‑Embedded)</strong></p>\n<ul>\n <li>Work directly with <strong>operations, dispatch, and planning teams</strong> to understand constraints, tradeoffs, and real‑world decision processes.</li>\n <li>Design and deploy <strong>operations research and analytics solutions</strong> for:</li>\n <ul>\n  <li>Scheduling and rostering</li>\n  <li>Fleet sizing and allocation</li>\n  <li>Demand forecasting and capacity planning</li>\n  <li>Service reliability, on‑time performance, and cost optimization</li>\n </ul>\n <li>Balance mathematical optimality with operational practicality and change management.</li>\n</ul>\n<p><strong>Agentic AI Champion (Enterprise‑Wide)</strong></p>\n<ul>\n <li>Act as the <strong>cross‑functional champion for Agentic AI</strong>, driving alignment across technical, operational, and leadership teams.</li>\n <li>Identify opportunities where <strong>agent‑based systems</strong> can augment planners, dispatchers, analysts, and executives.</li>\n <li>Design agentic workflows that integrate:</li>\n <ul>\n  <li>Planning and reasoning</li>\n  <li>Optimization tools and simulation engines</li>\n  <li>Data platforms, APIs, and business rules</li>\n  <li>Human‑in‑the‑loop controls for safety‑critical decisions</li>\n </ul>\n <li>Establish shared standards for <strong>governance, observability, safety, and accountability</strong> of agentic AI across departments.</li>\n</ul>\n<p><strong>Microsoft Fabric & Cloud‑First Enablement</strong></p>\n<ul>\n <li>Partner with <strong>data engineering and platform teams</strong> to deliver solutions on <strong>Microsoft Fabric</strong>, including:</li>\n <ul>\n  <li>OneLake, Lakehouses, and Warehouses</li>\n  <li>Fabric Notebooks (Python / Spark)</li>\n  <li>Power BI semantic models for operational decision support</li>\n </ul>\n <li>Ensure analytics and AI outputs are consumable by <strong>both technical and non‑technical users</strong>.</li>\n <li>Influence cloud architecture decisions to support real‑time and large‑scale transportation analytics.</li>\n</ul>\n<p><strong>Research‑to‑Operations Translation</strong></p>\n<ul>\n <li>Bring <strong>PhD‑level rigor</strong> into applied, cross‑functional problem solving.</li>\n <li>Translate advances in:</li>\n <ul>\n  <li>Operations research</li>\n  <li>Machine learning</li>\n  <li>Reinforcement learning</li>\n  <li>Agentic and autonomous systemsinto solutions that can be operationalized and sustained.</li>\n </ul>\n <li>Produce internal frameworks, playbooks, and reference architectures used across teams.</li>\n</ul>\n<p><strong>Strategic Influence & Enablement</strong></p>\n<ul>\n <li>Serve as a <strong>trusted advisor</strong> to senior leaders on:</li>\n <ul>\n  <li>AI investment decisions</li>\n  <li>Automation risk and readiness</li>\n  <li>Tradeoffs between cost, service quality, and equity</li>\n </ul>\n <li>Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the organization.</li>\n <li>Facilitate cross‑functional forums or working groups around analytics, AI, and automation.</li>\n</ul>\n<h2>Qualifications</h2>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n <li><strong>Masters/PhD</strong> in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field.</li>\n <li><strong>7+ years of industry experience</strong> working in transportation, logistics, mobility, or complex operational environments.</li>\n <li>Demonstrated success operating in <strong>highly cross‑functional settings</strong>.</li>\n <li>Deep expertise in optimization, simulation, and statistical modeling, combined with ML.</li>\n <li>Strong programming skills in <strong>Python</strong>; experience integrating OR solvers and dashboards.</li>\n <li>Experience delivering solutions in <strong>cloud‑based, enterprise environments</strong>.</li>\n <li>Exceptional communication and stakeholder‑management skills.</li>\n</ul>\n<p><strong>Agentic AI–Specific Requirements</strong></p>\n<ul>\n <li>Experience leading or designing <strong>agentic AI systems</strong> across multiple teams or functions.</li>\n <li>Ability to explain agentic concepts clearly to operations, leadership, IT, and risk teams.</li>\n <li>Strong judgment in distinguishing when:</li>\n <ul>\n  <li>Deterministic OR is sufficient</li>\n  <li>ML adds value</li>\n  <li>Agentic AI is appropriate</li>\n </ul>\n <li>Commitment to <strong>responsible AI deployment</strong>, particularly in safety‑, equity‑, and compliance‑sensitive transportation systems.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n <li>Experience in <strong>public transit, paratransit, logistics, or large fleet operations</strong>.</li>\n <li>Familiarity with <strong>Microsoft Azure and Fabric‑based analytics ecosystems</strong>.</li>\n <li>Experience influencing AI governance, operating models, or centers of excellence.</li>\n <li>Prior leadership in enterprise transformation or modernization initiatives.</li>\n</ul>\n<p><strong>What Success Looks Like</strong></p>\n<ul>\n <li>Operations trust and actively use analytics and AI solutions.</li>\n <li>Agentic AI is adopted intentionally, safely, and cross‑functionally—not in silos.</li>\n <li>Microsoft Fabric enables shared, consistent decision‑making across teams.</li>\n <li>Leadership views this role as a <strong>connector</strong> between strategy, technology, and day‑to‑day operations.</li>\n</ul>\n<p><em>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. </em></p>\n<p> </p>\n<p><em>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.</em></p>\n<p> </p>\n<p><em>#appcast</em></p>",
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