Job Description

We are looking for a Data Scientist to join the Marketplace Economics team. We use econometrics, analytics, big data, statistics, and machine learning to coach suppliers and delight customers.

Our work touches many data science domains. We consist of: economists who design strategies and model/test responses to them (structural modeling and causal inference), machine learning engineers who build predictive models (supervised and unsupervised), data engineers who build distributed ETL pipelines and robust data products for customer- and supplier-facing platforms, and business strategy partners that align our solutions with what will benefit Wayfair/customers/suppliers. We are looking for a generalist that is eager to grow in and collaborate across all of these domains.

Culturally we 

Value respect, inclusion, collaboration, integrity, and grit.
Make decisions based on what is long-term best for Wayfair, its customers and suppliers. Not what is short-term best or best for our team.
Provide and seek feedback. We care personally about the team and challenge directly to ensure we always raise each others’ standards.
Empower and sponsor colleagues.
Stay nimble by simplifying solutions to quickly iterate upon.
Seek different perspectives to make better decisions.
Embrace people for who they are, what they are interested in, and their unique strengths no matter their background.
Accomplish a large amount of high impact work.

What You'll Do

Design and implement

Experiments to measure how customers and suppliers respond to Wayfair’s strategies.
Algorithms to put measurements into action
Supervised and unsupervised models
Robust data pipelines

Scope concrete data science solutions to ambiguous business problems.
Collaborate with economists, machine learning engineers, data engineers, and business stakeholders to ensure the end-to-end success of your solutions.
Communicate the value of your work through logical, cohesive stories.
Uncover insight in our vast repository of clickstream and pricing data and provide tactical guidance on how to act on findings.
Mentor and empower junior data scientists.

What You’ll Need

The ability to learn fast, a willingness to work hard, integrity, grit, compassion, and a team-first attitude. 
Genuine interest in the happiness, well-being, and success of everyone on your team.
Ability to effectively work with business leads and data scientists: strong verbal and written communication skills, ability to synthesize conclusions for non-experts, and desire to influence business decisions
2+ years of experience in a quantitative or technical work environment or advanced degree (Masters / PhD) in quantitative field (e.g. data science, mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc. Experience using these to build machine learning models or run econometrics.
Prior experience building data processing pipelines. For example, with tools such as SQL, Hive, Spark, BigQuery, or Airflow.