Applied Data Scientist

Boston, MA

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Wayfair Inc.
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Who we are:

The Forecast Standards team is part of the Service organization that manages Wayfair’s Customer service strategy and works cross-functionally across the Wayfair operations group to tackle complex and high-visibility pre and post order service issues. To do this, we use analytics, structured process design, and Big data technology to frame the future service strategy for Wayfair and to drive informed decision making. As a team, we are responsible for ensuring that call centers are optimally staffed to field and resolve customer inquiries and issues through all contact channels (i.e., phone, email, chat).  We act as a central group influencing a wide array of decisions including staffing for frontline and specialized teams, channel management and establishing service performance expectations.


What you will do:

  • Serve as the technical expert for forecasting and demand modeling projects to create state-of-the-art solutions that will enhance the efficiency of North American and European service organizations
  • Use analytical and quantitative skills to work with large and complex datasets, analyze ill-defined questions, build decision-support tools, and develop recommendations to guide business decisions
  • Conduct big data analysis using Python, SQL, Google Big Query (GBQ) and Hive and create scalable forecasting algorithms using time series, Prophet and mathematical modeling to support capacity planning and staffing decisions at our service centers across phone, email, and chat.
  • Provide analysis using quantitative modeling tools to benchmark existing forecasts/processes, new model requirements, as well as to identify opportunities for improvement
  • Build predictive and other ad-hoc models as per the business requirements and build forecasts at various granularities across multiple channels and geographies.
  • Use analytical and quantitative skills to work with large and complex datasets in GCP and big data platforms, analyze ill-defined questions, build decision-support tools, and develop recommendations to guide business decisions
  • Work closely with BI and engineering teams to enhance prototypes, build visualizations for executive level KPI reporting, and implement solutions in production environment
  • Partner with various business stakeholders to identify key factors and requirements for each project, and get buy-in for project methodology
  • Communicate findings with colleagues from computer science, operations research and business backgrounds

Who you are:

  • A highly analytical individual who can give structure to complex and often ambiguous 
  • Passionate about tackling complex supply-chain business problems from problem definition and business-case development to implementation
  • BS/MS/PhD in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record
  • 3+ years professional work experience with statistical and predictive modeling.
  • Strong coding skills in Python to write scalable and production-ready code
  • Experience with distributed version-control using Git and knowledge of SQL & visualization tools (Tableau, Power BI, Data Studio, Looker etc.)
  • Strong written, and verbal communication skills including the ability to translate sophisticated analyses into a logical, convincing business narrative
  • Affinity for working with data and resourcefulness in situations where clean data and/or complete information is not available


About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Job region(s): North America
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