Wayfair Careers

Senior Data Scientist (m/f)

Berlin, Germany
Analytics - Data Science/Machine Learning


Job Description

This is a position for someone who already has experience in quantitative modelling: you have a strong analytical mindset, you hold a PhD or have similar project experience, and would love to work on cutting-edge solutions to hard problems in a leading e-commerce and tech company?

As part of this role, you will be a creative thinker in how to solve problems, utilizing quantitative/technical skills along with business understanding to devise solutions. You’ll work within Wayfair’s big data technology infrastructure to dive deep into our data sets and develop innovative capabilities.

You will:

  • Partner closely with business leads in Marketing, Product, or Operations to plan valuable data-science projects
  • Work in complex data systems and wrangle data from multiple sources including sales, customer, and clickstream databases
  • Conduct analysis and build models to uncover key learnings from data, leading to appropriate strategy recommendations
  • Serve as an algorithm and engineering lead to build advanced quantitative solutions into our overall technical platform
  • Work alongside business stakeholders to apply our findings and developments and continually improve the Wayfair customer experience

Your profile:

  • Sufficient experience in quantitative modelling and/or advanced degree (PhD) in quantitative field (e.g. mathematics, physics, computer science, economics, neuroscience, operations research etc.)
  • Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
  • Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
  • High comfort level with programming and data, e.g. you are comfortable in Python/R or another language such as Scala, Java, C++, C#, PHP, etc. You are proficient in SQL
  • Knowledge of quantitative methods – statistics, machine learning, general data analysis
  • Intense intellectual curiosity – strong desire to always be learning
  • Analytical, creative, and innovative approach to solving open-ended problems
  • Highly collaborative, team-player attitude

Our promise:

  • competitive salary and bonus that come along with a unique work life balance 
  • A company culture driven by pioneer-thinking and talent that crosses departments and hierarchies 
  • Great mentors and career development opportunities through our learn@work program  
  • We contribute to your gym membership and offer free Yoga classes, as well as Wellness Weeks with massages, workshops and other exciting events   
  • Of course fresh fruits, snacks & drinks every day!
  • We’re in the heart of the Berlin startup scene with lots of space to encourage collaboration and teamwork  
  • Let’s not forget the chance to join the next global giant in e-commerce


And finally, a bit more about Data Science at Wayfair:

The Data Science group is made up of team members with diverse skill sets across math and engineering, dedicated to solving some of the most analytically challenging problems here at Wayfair. 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


The Data Science department covers three main topic areas. You will work in one of the following:

Data Science Personalization builds sophisticated platforms designed to personalize customer experience to millions of unique shoppers across site and email. This includes working on different types of recommendations engines, as well as algorithms that machine-learn complex shopping behavior. The goal is to be intelligent and automated in making the experience more relevant for every user.

Data Science Marketing builds the framework and algorithms that help guide Wayfair’s $400M+ annual marketing investment. The work touches all marketing channels (TV, catalog and digital) and aims to improve our ability to measure marketing impact, improve our customer targeting and optimize our investments across millions of marketing campaigns.

Data Science Operations builds data-driven solutions to support Wayfair operations teams, including Merchandising Operations, B2B, Supplier Performance, and Customer Service. The big goals are to enhance Wayfair’s behind-the-scenes operational capabilities through rigorous use of algorithms and analysis.



About Us:

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.

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Requisition ID: 32846