Data Scientist I

Salary Range: $91,500 - $104,000 per year

Location: Boston, MA

This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday).

At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Who We Are:

Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love 

Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams:sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative. 

What You’ll Do:

• Build scalable analytics products in SQL, Python, and G-Suite visualization platforms (LookerStudio, Looker) that enable leadership and other internal customers to understand and manage performance, including forward looking models that evaluate the impact of our strategy on fulfillment activities, resourcing, and costs

• Build automated infrastructure in Google Cloud Composer to load and transform data, run models or analytical frameworks, and update front end dashboards. 

• Perform statistical analysis across large data sets to develop performance insights and forward looking projections of business outcomes

• Make demand forecasting model enhancements to account for new business strategies that drive specific demand patterns

• Build segment level performance projections to develop holistic views which indicate company wide trajectory across various operational KPI

• Establish data structures that enable scalability in the processes and tools to monitor CG inventory performance across key KPIs (turns, availability, penetration, positioning) and allow for adjacent teams to consume that data

• Communicate findings with colleagues from computer science, operations research and business backgrounds

What You’ll Need:

Basic Qualifications

• MS in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record

• A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems

• Exceptional analytics skill set, including a high degree of comfort / expertise with Python and relational databases (SQL) on a daily basis with proven track record of insight development leading to action

• Comfort operating with large data sets to identify trends, drill into specific details, make recommendations, and deliver upon desired outcomes

• High attention to detail with ability to appropriately manage and prioritize projects and tasks appropriately that leads to results

• Innovative problem-solving skills with a tenacity to develop ideas independently and thrive in a fast-paced start-up environment

• Passionate about tackling complex supply-chain business problems from problem definition and business-case development to implementation

• Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. This includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.

Preferred Qualifications

• Demonstrated ability to design, build, and own data pipelines end-to-end, ensuring data accuracy, scalability, and reliability

• Demonstrated curiosity and interest in Artificial Intelligence and its applications in analytics and business

Possible Team Placements

As an L1 Data Scientist based in Boston, you’ll be matched to a specific team based on business need and your skills and interests. Possible placements span both our Technology and Commercial & Operations organizations. On the Technology side, you may join customer-facing teams that power our storefront experience or our fintech and loyalty products, building data foundations, experimentation frameworks, and analytics that shape how customers discover, shop, and pay at Wayfair. On the Commercial & Operations side, you may work on teams focused on supply chain, forecasting and replenishment, network planning, or broader operations analytics, using data to optimize inventory, delivery speed, cost, and overall customer experience. Team placement is finalized during the hiring process, and all roles offer close partnership with product, engineering, and business stakeholders.

Why You’ll Love Wayfair:

Benefits & Perks

• Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees.

• No-cost access to 2nd.MD, a virtual expert medical consultation and navigation service.

• Global Traveler Health Insurance through GeoBlue.

• 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.

• Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.

• 401(k) matching with immediate vesting.

• Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services.

• Tuition Reimbursement.

• Wayfair Employee Discount.

• Gym/Fitness Discounts.

• Exclusive access to thousands of perks & discounts through BenefitHub.

• Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

Purpose & Inclusion at Wayfair:

At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility:

At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.