Senior Data Scientist, Machine Learning at EXO Freight

Posted on: 05/27/2022

Location: (REMOTE)

full time

Original Source

Tags: sql python pandas

Description ----------- [Exo Freight]( provides next-generation technology that is transforming trucking logistics. Every day in the US, there are still hundreds of thousands of truck loads that are booked and coordinated by phone, fax or email. Exo Freight automates the process and adds logistics, banking, and management technology to help shippers like Walmart manage and source trucking capacity, and to help trucking companies manage their fleet and get paid quickly. Our starting point is open deck shipping - a $135 Billion dollar market - which is how you transport large and odd shaped loads. We have clear product market fit with over $2m per month revenue growing over 20% MoM. We just closed a large Series A round and are dramatically scaling up the company and engineering organization as quickly as possible. About the Role -------------- You will be the first data scientist at Exo Freight and will start by leading an incredibly important project at the company - the algorithms behind how we come up with prices for thousands of freight loads. Pricing loads accurately is one of the most important functions at the entire business; it's analogous in importance and complexity to how Uber generates prices for their rides. We currently have a proof-of-concept pricing algorithm built using regression models that makes heavy use of internal and external historical load data as well as macroeconomic data like fuel pricing and industry data. Expect to take this from a POC into a scaled, permanent, ever-improving part of our infrastructure, with help from your coworkers in engineering, product and sales, and to have ownership over the models. This is an exciting and complex data project solving a pressing real-world problem. Pricing is just the first of many areas that you will get to work on at Exo Freight. Supply-chain logistics is a data-heavy field and we are building a company with a data-centric culture, so you can expect to touch many high-value projects at the company and work cross-functionally with leadership, product, engineering, and other areas. Qualifications -------------- ### Need to have * 3+ years of full-time employment as a data scientist or machine learning engineer * Significant experience with regression models including linear regression, random forests, gradient boosting * Significant experience with SQL and data manipulation * Familiarity with Python and Pandas * The ability to learn new technologies quickly * Excellent communication skills * Bachelors required, Masters or PhD preferred ### Nice to have Experience with: * Ingesting and manipulating large 3rd party data sets * Metabase * BigQuery * Web development & REST * Data warehousing * Google cloud Perks ----- * 100% company paid health/dental/vision insurance * Competitive salary * Competitive stock options representing significant equity * 401k Location -------- We are location-agnostic; you are welcome to work: * Fully remote * In-person out of our office in the SF Bay Area (specific location to be announced soon) * In-person out of our office in Royal Oak, Michigan * Hybrid You must be currently authorized to work in the United States on a full-time basis.