Spring is hiring a

Data Scientist

New York, United States

Imagine being able to access 1,000s of brands from one location anywhere you go. And then pair this idea with beautiful design, curated content and amazing customer service. Well, this is Spring: we're taking the idea of a 24/7 marketplace and using this platform to enable brands and consumers to connect in new ways.

We're a mobile first company that cares about design, about delighting our customers (brands and consumers) and about building great products. Started in 2013, Spring has quickly become known as the place to shop... and we've seen this in our rising number of users and brand partners. We currently have 85 employees and have big plans for growth.

Spring's Engineering & Product team is a key driver for our success: this is a team that moves fast, gets new products and features into the hands of end users and is constantly thinking about how to optimize existing processes. Data Science sits on the E & P team and works closely with Software Engineers and PMs. We have a varying degree of experience on the team: some engineers have more mobile and some have more server-side expertise, some are junior and some have 15+ years of experience.

Data Science influences many areas of Spring: it helps us measure the success of existing features, it informs our product roadmap, it impacts our marketing and customer success efforts, and much more. You'll have the opportunity to ask hard and interesting questions like "Why do customers buy more products on a Monday?", "How does a change to this feature affect user behavior?", "We don't currently collect or report on a certain metric....should we?" And if you are engineer or have inclination to learn, you'll have the opportunity to work with the dev team to ship features.

This role will report to our Lead Data Scientist and will help increase the overall bandwidth of the team.

Data Science does many different things here. Any week might have you working on:

  • Gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).
  • Working closely with our engineering team to integrate your amazing innovations and algorithms into products.
  • Processing unstructured data into a form suitable for analysis – and then do the analysis.
  • Supporting business decisions with ad hoc analysis as needed.
  • Using AWS and EC2 extensively, so experience with scalable cloud computing infrastructures is a positive.

You should have:

  • Strong knowledge of and experience with statistics; potentially other advanced math as well. Preference for candidates with 2+ years using these skills in a professional environment
  • Programming experience, ideally in Ruby, Python or R, but we are open to other experience if you’re willing to learn the languages we use.
  • Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.
  • Experience processing large amounts of structured and unstructured data. MapReduce experience is a plus.
  • Enough programming knowledge to clean and scrub noisy datasets.

Spring is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.