Internship in Data Science (m/f/x)

Berlin, DE

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Wayfair Inc.
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Posted 1 month ago

Data Science at Wayfair is a diverse group of people from all over the world, who use a wide range of skills across math, science and engineering to solve problems with data. Mainly the work encompasses data mining, algorithm design, algorithm platform engineering and influencing business decisions. The department covers three main areas:

  • Voice of Customer: We develop NLP and deep learning algorithms to discover hidden patterns in the large unstructured customer review data and create automated feedback loops to our operations team
  • Marketing: Wayfair invests hundreds of millions of dollars in annual marketing spend, and we optimize the return using attribution, segmenting, and forecasting
  • Operations: We algorithmically enhance and automate Wayfair’s behind-the-scenes operational capabilities by teaching machines to perform human-like operations on our huge catalogue
  • Fraud Detection: We apply state of the art machine learning algorithms to create scalable and real-time fraud detection system to protect our site from fraudulent purchase while minimizing the interruptions to our customers

Check out some of our work and meet the team members on the Data Science page.

What You'll Do

  • Support the Data Science team working on Recommender Systems for personalized content powered by Reinforcement Learning models 
  • Have responsibility for shaping part of Wayfair’s customer experience
  • Wrangle data from multiple sources including sales, customer, and click-stream databases
  • Conduct analysis, engineer features, and train predictive models for Recommender Systems
  • Build and test Reinforcement Learning algorithms to send millions of personalized emails per day 

What You'll Need

  • Some initial exposure to quantitative modelling/machine learning, e.g. within MA or PhD studies. Basic knowledge of Reinforcement Learning is a plus.
  • Proficiency in Python and SQL
  • Pragmatic approach to problem-solving
  • Looking to gain some industry experience as part of your university course or as an entry opportunity
  • Desire to always be learning, and a collaborative team-player attitude!

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.

Job tags: Data Mining Deep Learning Engineering Machine Learning Marketing NLP Python SQL
Job region(s): Europe
Job stats:  139  27  0
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