Senior Data Scientist

About the role

We’ve signed up to an ambitious journey. Join us!

As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.

The Role

Arrive is seeking a Senior Data Scientist with a strong technical background to join our growing Data Science team in the AI & Analytics Experience. The purpose of this role is to deliver data science products and impactful solutions across the organization, playing a key role in advancing Arrive's data capabilities and ensuring data insights are effectively integrated into decision-making. This role offers a unique opportunity to leverage a modern data stack (including AWS, Snowflake, and DBT) and empower teams with self-service analytics (through Looker and Streamlit).

As a Senior Data Scientist, you will occupy a key senior individual contributor position, leading high-impact projects, mentoring other data scientists, and guiding technical architecture. Reporting to the Manager of Data Science within the DNA function, you will partner closely with key senior stakeholders across Sales, Marketing, Finance, and Distribution. You will have a broad scope to have an impact by supporting sales via lead optimization, identifying fraudulent accounts, creating advanced parking insights (occupancy prediction, free-to-pay simulator, enforcement coverage, etc.), and providing tools and insights to guide the organization's next best actions.

How to make an impact

● Lead the end-to-end lifecycle of ML projects — from problem framing, data exploration, feature engineering, and model development to deployment and monitoring.

● Partner with cross-functional leadership on joint strategic initiatives to deliver measurable business impact.

● Identify, address, and resolve architectural and technical hurdles in developing scalable data science solutions.

● Drive architectural decisions regarding pipelines, model registries, or feature store development ensuring scalability, cost efficiency and reliability.

● Raise the technical bar of the team by actively mentoring other data scientists and promoting engineering best practices.

● Stay curious by exploring and implementing cutting-edge data science technologies to foster continuous team innovation.

● Translate complex data insights into practical business strategies and lead technical discussions with senior stakeholders.

● Mentoring junior data scientists and partnering with other DNA leads to nurture a data-driven culture and improve data literacy throughout Arrive.