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Boxed // mobile bulk shopping
Engineering, Full Time    New York City    Posted: Friday, April 23, 2021
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About the Company

Boxed is a rapidly growing ecommerce retailer built on the foundation of a world-class proprietary technology platform. With 7+ years of evolution, iteration, & successful disruption of the U.S. wholesale club industry, Boxed has developed a comprehensive tap-to-ship Ecommerce tech stack few other companies can boast. With Boxed, customers can have their household, pantry, & personal care essentials delivered to their home or office in 2 days or less with no membership fee. Our goal is to leverage our technology & data to deliver a superior shopping experience to our customers via our web & mobile app platforms. 

Our office is a dynamic, collaborative family of individuals. At our core, we are a data-driven, customer-centric technology company, & data truly is at the center of everything we do. We are a vibrant, fun & close group of engineers, product managers, data scientists, analysts, & operations specialists with a passion for driving superior value & experience to our customers. 

About the Role - Senior Data Scientist

As part of the Data Science team, you will work alongside product managers, engineers & business stakeholders to build data products using machine learning. The tools we use most are Python, UNIX & SQL.

The ideal candidate is driven by curiosity, passionate about creative problem solving, & thrives in an environment where learning & resourcefulness are key.

Your strong ML & engineering fundamentals will give you the hard skills necessary to build scalable solutions, & your ability to understand our business & collaborate effectively within & across teams will help to maximize the value you can bring.

The role will report to the VP of Data Science.


You Will

  • gain a deep understanding of Boxeds business & its organization 
  • see things from the customers perspective, & appreciate the roles of personalization & basket building in the customer experience 
  • develop, QA & maintain predictive machine learning models to address business problems 
  • apply techniques like classification, regression, causal inference, Bayesian statistics & neural networks 
  • find ways to apply new developments in ML to practical problems 
  • uncover new problems to solve that will impact our business 
  • ensure projects are completed on time & with a high degree of accuracy
  • stay up-to-date on the latest developments in machine learning & AI

Your Foundations

  • 3-5 years experience building machine learning models in a practical setting; experience in an e-commerce, SaaS and/or early-stage startup a plus 
  • BS/BA degree in a quantitative field 
  • ability to understand & write idiomatic UNIX shell scripts, SQL & Python code, including Python Standard Library & other common libraries for data analysis
  • strong communications skills & the ability to target a presentation to its audience 

Benefits & Perks

  • Working with driven, intellectually voracious & generally awesome people
  • Competitive salary
  • Stock options
  • Unlimited vacation
  • Full healthcare benefits
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