Wayfair’s EU Data Science team builds the algorithmic systems that drive our business.
The team has a wide range of scope: fraud detection, supply chain operations, customer feedback and translations. As a result, we work with several different engineering teams in different departments for our model productization.
The work we do encompasses:
- Data mining - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
- Algorithm design - develop quantitative models, leveraging machine learning and advanced data analysis techniques
- Algorithm platform engineering - design and build technical platforms for our algorithmic engines to run at scale
- Influencing business decisions - leverage our work and encourage adoption across our business partners to drive business value
We are seeking a senior individual contributor, who is well-versed in advanced modelling and machine learning, to take over and own multiple of our European workstreams and to support the further growth of our Data Science team.
What You Will Do:
- Facilitate implementation of models into production by working with partners in engineering
- Serve as consultative partner to business and product leaders to understand their needs and how they translate into models
- Explore opportunities both in terms of business needs and in terms of what is technically feasible
- Plan projects and manage their execution, prioritizing between competing interests and providing technical guidance
- Connect and communicate data-science projects to stakeholders and teams company-wide
What you Will Need:
- BA/BS/MS/or PhD, with strong academic record, ideally in Mathematics, Computer Science, Physics, Operations Research, Economics, or other quantitative field
- 4+ years of experience in a corporate, start-up, or research environment
- Hands-on project experience in advanced modelling and machine learning, high comfort level with programming (i.e. Python/R or similar, SQL)
- Desire to always be learning, and a collaborative team-player attitude!
What We’ll Gladly Offer:
- Highly competitive compensation packages (comprising of Base Salary and Equity),
- Full ownership of your wellbeing with our unlimited “Personal Time Off” (XYZ amount of days based on the job family)
- Paid volunteering work,
- Contribution to private pension,
- Commuting schemes (car, bike, public transport),
- Extensive internal training platform,
- Free access to LinkedIn e-learning courses and programs,
- Comprehensive financial scheme for Learning & Development opportunities and continuous education outside the organisation
- Access to German language courses,
- Health & Sport memberships,
- Virtual child care,
- Global Wellbeing Program for our employees and their families
- Parental leave, surrogacy and adoption reimbursement program, extended bereavement leave
- Employee discount for Wayfair purchases,
- Corporate benefits,
- A vast community of ERGs supporting our employees and making Wayfair an inclusive space for us all,
- Full relocation support plus VISA and sponsorship
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.