Senior Software Engineer, Data Platform

Hiring for multiple roles.

Traditional forecasting breaks under petabytes of features, megabytes of labels, and time-varying noise. Our breakthrough research is foundational in the field : generating industry-beating results (MIT News). Our predictive engines combine a wide variety of data through rigorous scientific process. We leverage alternative datasets (consumer transactions, geolocation, etc) along with private, public, external, and internal data.

The Data Platform is a critical component in our scientific approach to forecasting. The role will require everything from high-level architecture design to performant implementation.

Responsibilities include :

• Build distributed systems supporting complex transformations over petabyte-scale data
• Design, implement, and maintain production cloud data pipelines for complex, disparate datasets
• Work closely with our Quants and Applied Scientists to support rigorous scientific process, rapid experimentation, and new product initiatives

Required qualifications :

Nice-to-haves :

In-person at our NYC office strongly preferred. Remote candidates who can spend some time in-office (e.g., monthly) will also be considered.

Benefits :