Senior Data Scientist

New York City Full-time

ROCKETS OF AWESOME is reinventing the way parents shop for kids by leveraging technology, data, brand, personalization, and exceptional merchandise. We’re making shopping for kids apparel convenient and fun. This is the future of vertical commerce.
We are solving challenging problems on behalf of parents with some of the most interesting tools available. Cultivating a culture of learning, innovation and continuous improvement, we value fun, simplicity, and teamwork. We constantly share what we’ve learned and value team members who enjoy teaching others. We are data-driven, brand focused and are inspired by great design.
We are looking for an experienced data scientist to join our growing team. As a Senior Data Scientist, you will report directly to the Head of Data Science.
 
Primary Responsibilities:
Work cross-functionally to apply data science to core areas of our business, including: box styling operations, customer service, marketing, logistics, planning and supply chain.  Our work includes
·      Core personalization algorithms — these are used in our box and shop products— From understanding how to gather the data for cold-start recommendations, to collaborative filtering models, to incorporation of feedback so that our kids and parents are always delighted when they get their next box.
·      Operations research— Every day we make hundreds of thousands of small (and large) decisions, from how much material to buy, to which customers’ box to send next, to what product(s) to re-order.  Each of these decisions has a cost and benefit, along with competing tradeoffs to consider.  
·      Forecasting and predictive models— To make smart decisions, we need to have a crystal ball that tells us with some degree of certainty what will happen in the future.  Sometimes we have a lot of historical data and other times we have very limited data.
As a data scientist you’d be expected to make key contributions to all of the above areas
 
What We’re Looking For:
  • MS or PhD in quantitative discipline (e.g. math, CS, stats, physics, engineering, operations research, …)
  • 2+ years doing data science work in industry
  • High level of proficiency in Python
  • Strong knowledge of at least 3 of statistics, probability theory, machine learning, natural language processing, operations research, data visualization.
  • Strong SQL skills
  • Prior experience in startup environment
  • Prior experience working with predictive models in production
  • Prior experience in delivering results in a highly autonomous, yet timely manner.
  • Bonus: Experience mentoring or managing a team of data scientists in the past