Economist II - Machine Learning Science, Search & Recommendations
Economist II - Machine Learning Science, Search & Recommendations
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Job Description
Who we are
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. We build our systems from the ground up with economic fundamentals in mind. Wayfairs Search Marketing and Recommendations ML teams build algorithmic systems that drive our business enhance customer experience and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a high-leverage Sort MLS squad - a cross-functional collaborative team driving development of world-class ML systems with company-wide impact.
What youll do
- Own the ranking algorithm and simulation engine that decides which of the millions of products we show to millions of Wayfair shoppers improving customer satisfaction and company revenue.
- Design build deploy and iterate large-scale decision systems including the sort algorithm exploration strategies predictive and counterfactual models.
- Redesign our two-sided marketplace and develop incentive-compatible sort algorithms.
- Partner with Engineering Infra and ML Platform teams to productionize and deploy scalable reliable services following best practices (CI/CD monitoring A/B gating).
- Collaborate with Product Data Science and Business stakeholders to turn business opportunities into launched models and measure their impact.
- Discover new opportunities and levers through data exploration and simulation and deliver end-to-end solutions from proposal to production to monitoring.
What Youll Need
- Ph.D. in Economics or a closely related field (e.g. Marketing Finance Operations Research Statistics) with 0-3 years of experience.
- Expertise in marketplace dynamics profit maximization simulation or causal inference.
- Experience with ML models and approaches (deep learning tree-based models exploration bandit algorithms).
- Proficiency in Python or one other high-level programming language.
- Strong written and verbal communication skills ability to synthesize conclusions for non-experts and overall bias towards simplicity.
- Intellectual curiosity and enthusiasm about continuous learning.
Nice to Have
- Experience with Python ML ecosystem (mumpy pandas sklearn XGBoost etc.) and/or Apache Spark Ecosystem (Spark SQL MLlib/Spark ML).
- Familiarity with GCP (or AWS Azure) ML model development frameworks ML orchestration tools (Airflow Kubeflow or MLflow).
Why Youll Love Wayfair:
- Time Off:
- Paid Holidays
- Paid Time Off (PTO)
- Health & Wellness:
- Full Health Benefits (Medical Dental Vision HSA/FSA)
- Life Insurance
- Disability Protection (Short Term & Long Term Disability)
- Global Wellbeing: Gym/Fitness discounts (including US Peloton Global ClassPass and various regional gym memberships)
- Mental Health Support (Global Mental Health Global Wayhealthy Recordings)
- Caregiver Services
- Financial Growth & Security:
- 401K Matching (Employee Matching Program)
- Tuition Reimbursement
- Financial Health Education (Knowledge of Financial Education - KOFE)
- Tax Advantaged Accounts
- Family Support:
- Family Planning Support
- Parental Leave
- Global Surrogacy & Adoption Policy
- Professional Development & Recognition:
- Rewards & Recognition
- Global Employee Anniversary Awards
- Paid Volunteer Work
- Unique Perks:
- Employee Discount
- U.S. Bluebikes Membership
- Global Pod Outings
- Work/Life Balance:
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Wayfairs In-Office Policy:
All Seattle-based interns co-ops and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days Tuesday Wednesday and Thursday and work remotely the other 2 days of the week.
(Salary/Base Pay): The salary range (or base pay) for this position is $00* however base pay offered may vary depending on location job-related knowledge skills and experience. Restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were 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 youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were 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. Thats why were 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 genetic information or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
