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.

Responsibilities:

Ability to work in highly ambiguous environments and build solutions that have the ability to flex with the business needs
Build out Forecast Models for short term and long term contacts using data science modeling techniques
Partner with operations to drive cost efficiencies YOY
Build tools using data science techniques to drive improvements in operations
Create and execute cross-training plans across the network to reduce redundanciesExcellent communication, both verbal and written as you will be required to convey updates on issues, operational status, and business drivers throughout the activity cycle and during daily/weekly reviews
Assist in developing performance metrics to assist with driving business results

Experience:

Experience in data science and using data/metrics to determine improvements
3+ years of experience delivering cross-functional projects working with tech and non-tech teams
3+ years of experience in data science
3+ years of experience Proficiency in MS Excel, Python, and reporting tools like QuickSight or Tableau
Contributed to company strategy and act as a thought partner to colleagues across product, legal, marketing, etc.
Collaborated with both technical and non-technical team members, and have a strong appreciation for documentation.
Worked in a dynamic, fast-paced environment where everything is “the first time this has been done.” You are not afraid to roll your sleeves up where needed.

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