Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3000 Wayfair engineers. 

In 2020, Wayfair served >31M customers and generated revenue of >$14B growing 55% YoY. 

You will be part of a cross-functional team of Data Scientists, MLEs, engineers, analysts, and product managers to build real time services.

Our team works in a fast paced and collaborative environment, and is razor-focused on delivering business value. As a part of the global Data Science community spanning various verticals, you will enjoy learning about the latest applications of ML in Fraud Detection.

Example challenges we face today:

• Detecting associated accounts or organized fraud rings via graph based methods, and leverage Deep Learning for extraction of behavioral features.

What You Will Do:

• Develop machine learning models for detecting malicious activities like account takeovers or fraudulent transactions 
• Productionise ML model service closely collaborating with ML Engineers
• Design end-to-end DS systems by translating business and product requirements
• Leverage the knowledge of state-of-the-art methodology and industry best practices to raise the technical standard of the team and Wayfair Data Science community
• Lead your teammates by example, as a senior member of the team your code and system designs demonstrate the path the team should follow
• Contribute to and influence our technology and product strategy and roadmaps 
• Help others learn and improve to push the bar of how good data science looks like
• Communicate and collaborate across the wider organization, influencing decisions  without direct authority with inclusive, adaptable and persuasive communication 

What you Will Need:

• Master’s degree in a quantitative field; PhD is an asset. 
• Minimum 8 years of industry experience in a data science or 5 years of industry experience with PHD
• Proficiency in Python
• Solid experience productionizing ML models, preferably in real-time use case
• Industry experience in Fraud big plus
• Intellectual curiosity and strong desire for continuous learning

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