Director, Data Science

🕒 Maio 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $217.000 - $312.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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May Mobility

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

🚗 Transporte

🤖 Inteligência Artificial

Transport • Artificial Intelligence

A May Mobility é pioneira no desenvolvimento de tecnologia para veículos autônomos e soluções de transporte. Eles se concentram em criar opções de transporte público seguras, confiáveis e acessíveis, implantando ônibus sem motorista em ambientes urbanos. Suas soluções visam melhorar a mobilidade urbana, reduzir a congestão do tráfego e fornecer alternativas de transporte ecologicamente corretas. Com uma forte ênfase na segurança de pedestres e passageiros, a tecnologia da May Mobility se integra perfeitamente à infraestrutura existente das cidades para oferecer uma nova visão do transporte público.

Descrição

• Set and own the data science strategy across simulation and synthetic data, ML evaluation (perception, prediction, planning), fleet operations analytics, and the data platform that supports them; translate that strategy into a 12–24 month roadmap with measurable milestones. • Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility to win against AV, robotics, and AI competitors. • Partner with Engineering, Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD-expansion gates; use data to make the business case for what we deploy, where, and when. • Drive ML and analytics applications end-to-end: dataset curation, scenario coverage, modeling, offboard evaluation, productionization, and continuous monitoring of fleet performance in the wild. • Establish measurement and experimentation standards across the company — including before/after analyses for stack changes, A/B-style comparisons in simulation, and statistically credible reporting on real-world incidents. • Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems. • Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners. • Provide technical guidance to Engineering and Operations leaders on issue diagnosis, resolution, and the ML changes most likely to move our key safety and service metrics. • Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.

🎯 Requisitos

• 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • Direct experience leading data science or ML work in at least one of the following domains: autonomous vehicles or ADAS, robotics, large-scale computer vision systems, simulation and synthetic data, reinforcement learning, or large-scale ML platforms. • Demonstrated track record leading a team of 10 or more through a major delivery — for example, a production launch, a major model rollout, a regulatory milestone, or a significant ODD or product expansion. • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience. • Strong programming skills in Python; working familiarity with the production ML stack used in modern AV/robotics environments (e.g., PyTorch or TensorFlow, distributed training, dataset and feature pipelines, experiment tracking). • Experience setting measurement and experimentation standards inside an engineering or product organization, with credible examples of metrics or evaluation frameworks the team adopted and kept using. • Experience operating in cross-functional partnership with engineering, product, safety, and operations leaders — comfortable both defending technical positions and adjusting them in light of business or safety constraints.

🏖️ Benefícios

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. • Rich retirement benefits, including an immediately vested employer safe harbor match. • Generous paid parental leave as well as a phased return to work. • Flexible vacation policy in addition to paid company holidays. • Total Wellness Program providing numerous resources for overall wellbeing