Transfix, named to Forbes' Next Billion-Dollar Startups list, is the leading transportation solutions provider whose digital brokerage marketplace & logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, & sustainable solutions for shippers & carriers, powered by people & technology.
By combining deep industry expertise & a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Fortune 500 companies such as Staples, Unilever, Target & Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, & unmatched intelligence, Transfix is optimizing the supply chain from start to finish. Come leave a positive impact on the environment as we help reduce the carbon footprint caused by the 65 billion wasted miles on the road.
The problems we solve everyday are real & require creativity, grit, & determination. Recognized as one of Built In's Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation & personal growth. We're hiring team members who are passionate & are energized by the vision to simplify & transform one of the largest & most complex industries through technology, data & a strong commitment to customers.
We are looking for a VP, Data & Analytics to lead a talented group of Data Scientists, Data Analysts, & Analytics Engineers. We manage a vast network of shippers & carriers that gives us a unique perspective on a critical component of the supply chain. The problems we tackle daily include price forecasting, recommendation models, risk assessments, scheduling optimizations, & workflow efficiencies.
Data is a central hypothesis for how we think about increasing efficiency across the industry. Leveraging insights from our data is core to how we think about adding differentiated value to our shippers & carriers. We believe that data should inform decision making across the company, data should be openly accessible & that all team members should be empowered with reporting tools & training, & that our data & reports must be accurate & performant. In this role, you will drive these values into practices.
Our analytics platform consists of Looker & SnowflakeDB. Our software platform is primarily built in Ruby, Python, & PostgreSQL on AWS. ETL & data replication workflows are managed using Airflow, Amazon DMS, & Fivetran. Model development leverages a combination of internal pricing data & external data providers (e.g. DAT/Dial-a-Truck, ITS/Internet Truck Stop, PC*MILER) & we make use of both statistical models (e.g. SARIMAX, GLM, logistic regression) & machine learning models (e.g. GBM, RandomForest, XGBoost). Our stack consists of Python, Pandas, sci-kit learn, statsmodels & Prophet.
Location: This role is remote & we are prioritizing candidates who are based in Eastern, Central, & Atlantic time zones. This role can also work from our NYC headquarters.