Data Scientist

Haul is building a labor marketplace that provides trucking companies in the US with a pool of vetted, on-demand truck drivers to operate their trucks.

Founded by Uber alumni and venture-backed, Haul is looking to rethink the employment model of 3.5 million truck drivers and support an $800 billion trucking industry in the United States.

Haul maintains office hubs in the Bay Area and Denver, CO.

Haul’s data team is core to achieving our mission. The complexity of teamwork is to bridge the gap between human behaviors and the deterministic nature of code. We tackle complex problems with smart solutions in preference matching, schedule optimization, pay & pricing, and risk assessment. And we ingest, aggregate, translate and synthesize data from many different sources, including sensor data from trucks, public records, and behavior tags. 

As an engineer on the data team, you will work on the systems underpinning and applying our predictive models, optimization algorithms, and artificial intelligence solutions. This is a far-reaching technical role; you will get to make significant contributions across our codebase, from our machine learning tech stack to the backend powering our business, and collaborate often with engineers, designers, and operators. You'll also grow with a data team that has deep experience across analytics, data science, machine learning, and software engineering but maintains a flat hierarchy and a passion for learning.

Benefits & Perks 📈 Stock options and competitive compensation package 🏝 Flexible personal time off 🩺 Health, Dental and Vision Insurance 🏦 Employer-sponsored 401k

Haul supports a "hybrid" office model where team members can work in the company's offices or remotely if you are based out of the Bay Area or Denver.

For an all-remote position in the rest of the United States, we're putting a lot of thought into building an all-inclusive remote environment. Prioritizing documentation over verbal communication, asynchronous vs. in person.

You made it to the bottom!

The bottom line is we're a small team and we're onto something here. Send us a note and learn more!

Tim & Toan

LI-REMOTE

Location

Remote