Wayfair: Operations Research - Summer Internship
4 Copley Place - Floor 7
Boston, MA 02116



Final Deadline: The final application deadline is November 1 for consideration during the Fall 2019 recruiting season.

Who We Are | Operations Research

Wayfair is seeking energetic, curious and action-oriented Masters, and PhD students with an interest in a career in Operations Research for full-time and internship positions. Our current team members have a diverse skill sets across quantitative sciences, analytics, math and engineering with a focus on logistics and supply chain. They are dedicated to solving some of the most analytically challenging problems here at Wayfair. We are currently accepting internship applications for Summer of 2020 (June 2020 start date; 10-week program).

Operations Research Scientist

Our Operations Research Scientists take on complex optimization projects that have an immediate impact on our operations. We seek an individual who can think through creative strategies to develop and execute solutions to keep Wayfair efficient as we scale. The successful candidate will work with our team of operations research scientists and engineers to tackle large-scale and real-time optimization problems in our supply chain and beyond, including network design, transportation & vehicle routing, warehouse & inventory management, global network optimization, and many others.

We are looking for an individual capable of thinking outside of the box about operational challenges, who wants to try new approaches and challenge traditional models all while focusing on bringing a best-in-class experience to our global customers.

What Youll Do | Responsibilities

  • Develop production software tools
  • Work cross-functionally with business stakeholders to determine requirements
  • Coordinate with other engineering teams

What Youll Need | Qualifications

  • Currently enrolled in a Masters or PhD degree program at a top-tier institution with a strong academic track record
  • Currently obtaining a degree focused within either Operations Research, Applied Mathematics, Industrial Engineering, Computer Science or a related field
  • Strong knowledge of linear programming and mixed-integer programming
  • Experience implementing models with AMPL, R, Matlab, or similar tools
  • Experience using Python, C++, Java, or similar languages
  • Familiarity with data analysis

You will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer behavior, influence key decision making and quantify our impact within the e-commerce space. Our diverse and fun employees enjoy an environment of strong ownership and quick feedback from building, experimenting and iterating on high-impact work.

About Us:;

Wayfair is one of the worlds 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, were 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 youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. Were 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. Thats why were 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.