Inference Data Scientist

New York, United States

Description

The story of Gust

Every year, thousands of entrepreneurs are driven to turn their bright ideas into realities, but building a successful, high-growth startup is challenging and confusing. Founders need guidance, direction, and access to a thriving ecosystem of investors, advisors, and service providers if their ventures are to survive and thrive.

We at Gust are building software at the center of this ecosystem, generating online tools and services that support the intrepid entrepreneur on the path to funding, starting day one with incorporation and sticking by them every step of the way.


Who we are

Gust is built and maintained by 30+ creative and talented individuals who share an entrepreneurial spirit. We’re not all founders, but an empowered sense of autonomy and self-ownership runs through our company. At the same time, we know we’re at our best when working together and challenging each other. We’re focused on high quality work as we believe we’re building a lasting infrastructure to support a bigger future. There are a lot of great reasons to work at Gust, but here are a few that stand out:


The position

We are looking for a product-oriented data scientist—sometimes called inference data scientist or decision scientist—to join our NYC-based team. This role sits between engineering, marketing, and product. In this role, you’ll be in charge of leading our analytic efforts as we grow our company. One of the key responsibilities of this role is to provide insights to our teams, which are then used to improve our products and go to market strategy. This includes both high-level strategic analysis and a more tactical analysis on the performance of our products and marketing channels. This role will also work with and improve our existing data and analytics pipeline with full support from the engineering team; while you’ll be leading our analytics efforts you won’t be alone in maintaining our infrastructure. There is opportunity for this role to grow into a larger leadership role as our data and analytics needs scale.

Requirements

Why you’re right:

What you’ll do:


What you’ll need:

We know that the industry is broad and constantly evolving so any specific technologies and vendors listed below are only to illustrate the kinds of services and tech we mean. If you’ve got a solid grasp on the theory and practices underlying them and can learn on the job, please apply.

Benefits

Perks you’ll love:

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