Machine Learning Scientist
Posted on 4/4/2023

5,001-10,000 employees

Online home goods retailer
Company Overview
Wayfair's mission is on a mission to help everyone, anywhere create their feeling of home. Wayfair is an online retailer that offers a wide selection of home furnishings and decor.
Mountain View, CA, USA
Experience Level
  • Recently completed PhD in a quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.) OR an advanced quantitative degree and at least 2 years of experience
  • Ability to effectively partner with cross-functional leads: strong communication skills, ability to synthesize conclusions for non-technical partners, and a desire to influence business decisions
  • Ability to thrive in a dynamic environment where Data Science plays a key role in shaping business & technical priorities
  • Machine Learning experience in a professional or advanced academic setting (e.g., supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
  • High comfort level with Python (preferred) or with other programming languages
  • Experience with big data tools such as Hadoop, Spark, Presto, etc
  • Prior experience building scalable data processing pipelines with big data tools such as BigQuery, Spark, etc
  • Experience with Airflow and containerization (Docker) are nice to have
  • Intellectual curiosity and a desire to always be learning!
  • Develop quantitative models, leveraging machine learning and advanced data analysis techniques
  • Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
  • Coordinate, prepare, launch, and assess live experiments in order to measure the incremental impact of your own work and/or the work of partner teams
  • Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
  • Drive adoption & utilization of your products across the organization in ways that drive real business value
  • Architect and help define the required technical platforms that enable us to produce models at scale
Desired Qualifications
  • Experience with multi-objective optimization is a