Wayfair Careers

Machine Learning Operations

Boston, MA
Engineering - Infrastructure


Job Description

Introduction to the team:

This is a new position within our Production Operations organization, and a great opportunity to drive a new group within an established environment leveraging large datasets to improve our ability to detect anomalies and outliers.  The work we do encompasses:

  •         Data mining - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
  •         Algorithm design - develop quantitative models, leveraging machine learning and advanced data analysis techniques
  •         Algorithm platform engineering - architect and build technical platforms for our algorithmic engines to run at scale
  •         Influencing business decisions - relentlessly leverage our work and encourage adoption across our business partners, to drive real business value

As part of this role, you will be a creative thinker in how to solve problems, utilizing quantitative/technical skills along with business understanding to devise solutions. You’ll work within Wayfair’s big data technology infrastructure in order to dive deep into our data sets and develop innovative new capabilities.

Responsibilities:

  •         Build a platform to ingest data streams from real-time sessions on our websites.
  •         Work in complex data systems and wrangle data from multiple sources including sales, customer, and clickstream databases
  •         Conduct analysis and build models to uncover key learnings from data, leading to appropriate strategy recommendations.
  •         Derive single and multi-variant algorithms to detect anomalies in real-time across different funnels in our website.
  •         Serve as an algorithm and engineering lead to build advanced quantitative solutions into our overall technical platform
  •         Work alongside engineering leaders to detect outliers in our technology platforms and make suggestions to improve them.

 

 

Qualifications:

  •         BA/BS/MA/MS plus 4+ years' experience working with data,
  •         Strong statistical background; machine learning experience highly valued
  •         Strong programming skills relevant to data science:
  •         Preferred stack: Python + IPython Notebook, NumPy, pandas, machine learning packages
  •         R, Matlab and other data/statistical language experience also valued
  •         Excellent communication skills, including summarizing/describing your projects
  •         Projects demonstrating data prowess and/or coding prowess
  •         Excellent communication skills, including summarizing/describing your projects

 

Bonus:

  •         Programming experience on non-data related projects in any languages
  •         Experience working with data in a business context
  •         Experience with SQL or other databases
  •         Experience with big data (Hadoop, Elasticsearch, Logstash)
  •         Experience with Git, GitHub, bash / UNIX scripting

 

About Wayfair Inc.

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 10 million items across home furnishings, décor, home improvement, housewares and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes - from product discovery to final delivery.

The Wayfair family of sites includes:

  • Wayfair, an online destination for all things home
  • Joss & Main, where beautiful furniture and finds meet irresistible savings
  • AllModern, unbelievable prices on everything modern
  • Birch Lane, a collection of classic furnishings and timeless home décor
  • Perigold, unparalleled access to the finest home décor and furnishings

Wayfair generated $5.2 billion in net revenue for the twelve months ended March 31, 2018. Headquartered in Boston, Massachusetts with operations throughout North America and Europe, the company employs more than 8,700 people.

 

Tag: ENGR-INFR
Requisition ID: 23544