Job Information
Wayfair Senior Data Science Product Manager, Profitability and Forecasting Algorithms in Boston, Massachusetts
About Wayfair
Wayfair is revolutionizing the way people shop for their homes. We’re an e-commerce retailer that’s transforming the online shopping experience, and we’re looking for passionate individuals to join our team.
About the Role
Where will we ship the next couch we sell and how much will it cost to get it there? What are the drivers of customer returns? Which of the new products launched on our site are best positioned to take off and become best sellers? How different will this picture look in the future?
Profitability and Forecasting Algorithms answers these questions and others like them. We vend cost, demand, and profit estimates globally to ensure profit-aware decision-making across the company in systems such as pricing, sort, and marketing. Our broad scope comes with regular executive visibility and the opportunity to influence critical business strategy at Wayfair.
We are looking for a highly motivated and solution-oriented Product Manager to steer the product vision and roadmap for this team. We focus on maximizing the business impact of our machine learning models through experimentation and post-hoc model evaluation. We elevate our models and their outputs through analytics products to power company-wide decision making. We are a high performing team of engineers, machine learning engineers/data scientists/economists, and product managers.
What You'll Do:
Develop and execute a multi-year roadmap for machine learning and economics products across a suite of cost, margin, and inventory predictive algorithms
Define detailed technical product features and establish delivery timelines
Conduct in-depth analysis of customer and product behavior and share learnings with senior executives to drive pricing strategies and guide product development
Establish and monitor key metrics for pricing and cost estimation, identifying trends and driving improvements
Develop a validation framework for deploying and measuring the impact of multiple machine learning models
Collaborate with engineering, machine learning science, economics, data science analytics, and other tech teams to define system architecture and science vision
Serve as a thought partner to science, engineering, and senior business leaders, communicating insights and recommendations
Act as a subject matter expert to non-technical stakeholders and leadership
What You'll Need:
Preferred: Master’s degree (or foreign equivalent) in Computer Science, Mathematics, Operations Research, Analytics, Engineering, Statistics, or a related field, and five years of experience in data science product management building software products or infrastructure at scale with a focus on machine learning and analysis of large data sets.
Required: Bachelor's degree (or foreign equivalent) in Computer Science, Mathematics, Operations Research, Analytics, Engineering, Statistics, or a related field, and five years of progressive post-baccalaureate experience in data science product management building software products or infrastructure at scale with a focus on machine learning and analysis of large data sets.
Experience in the following areas:
Identifying operational process improvement opportunities and driving improvements in people, process, and technology
Creating strategic roadmaps for growth and managing implementation against deadlines and milestones
Developing applied machine learning systems for various business use cases
Creating executive-level communications for a varied stakeholder base
Collaborating with cross-functional teams of engineers, data scientists, and other specialists
Developing and performing experimental design and hypothesis testing, including A/B testing and multivariate testing (MVT)
This is a hybrid position based in Boston, MA. Employees are required to be in the office Tuesday-Thursday.
Why You'll 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
Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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 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, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.