Data Scientist I, Operations - Experienced Graduates

About the position

This is a Boston, MA based opportunity with a 4 day in office expectation. Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with experienced graduates who have 1-3 years of experience. You will join the Operations Analytics team focused on steering Wayfair’s long term strategic operations. The OA team supports long-term, high scope, high complexity planning and business case questions within operations. We work closely across Operations Research, Network Management, Transportation & Delivery and other teams to ensure continuity between their near and medium term planning objective functions with our future state strategic goals.

Responsibilities

• Work within a small but high impact team focused on providing analytical firepower to a number of groups under the operations umbrella, with a focus on Fulfillment, Planning, and Analytics.
• Support decisions of if, when, and where to open new Fulfillment Centers and Home Delivery Operation nodes in our network in a way that maximizes value through optimizing inbound and outbound speed and cost across a multitude of FC functions.
• Advise on decisions to expand on our deluxe delivery operations, reviewing the near term cost/benefit tradeoffs and long term customer lifetime value impacts.
• Support development of a strategic put away logic for a pilot of automated inbound sortation robots analytical needs.
• Design and maintain models that drive strategic insight, packaging findings into concise and actionable recommendations.
• Utilize your experience in SQL, python, and spreadsheet modelling to build tailored and robust sensitivity analyses that identify and address business value opportunities.
• Develop tools and dashboards that provide critical insights, enabling data-driven decision-making.
• Work in a fast paced, highly iterative environment that is responsive to the evolving needs of our operations functions and strategies.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related discipline with a strong academic record.
• Experience in an analytics or data science role, performing quantitative analysis and delivering actionable recommendations from findings.
• Advanced proficiency in SQL, including knowledge of aggregate functions, joins, etc.
• Hands-on experience and comfortability with Python for data manipulation, analysis, and modeling.
• Authorization to work in the United States without visa sponsorship by Wayfair now or in the future.

Nice-to-haves

• Ability to synthesize insights from undefined and open ended problem sets and articulate into clear, top down evidence backed narratives.
• Strong written and verbal communication skills, with experience building comprehensive and compelling slide decks and white papers.
• Solution-oriented & curious intellectual mindset and curiosity, with a passion for continuous learning and problem-solving.
• Strategic thinker, able to provide direction and support to the team in setting clear project goals, managing the execution of projects that align with business objectives.
• Experience with or knowledge of supply chain and logistics concepts is a strong plus.

Benefits

• Paid Holidays
• Paid Time Off (PTO)
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability)
• Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• 401K Matching (Employee Matching Program)
• Tuition Reimbursement
• Financial Health Education (Knowledge of Financial Education - KOFE)
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Rewards & Recognition
• Global Employee Anniversary Awards
• Paid Volunteer Work
• Employee Discount
• U.S. Bluebikes Membership
• Global Pod Outings
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments