Data Scientist II, Customer Technology

Wayfair LLC
Boston, MA, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$121,000.0 - $132,000.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Data Analysis Clickstream Information Systems Databases Computer Engineering Data Files Data Visualization R (Programming Language) SPSS (Software) Python (Programming Language) Power BI
+7 more
Standard Sql SAS (Software) Tableau (Software) Google Data Studio Information Technology Drilldown Looker Analytics

Job description

  • Construct optimized code that massages information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations.
  • Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth.
  • Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behavior.
  • Design, execute and analyze A/B tests to make high-impact changes to the customer experience.
  • Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems.
  • Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.

Requirements

  • Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred.
  • 2+ years of work experience in a relevant field, such as analytics or data science.
  • Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.
  • Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.).
  • Experience conducting quantitative analyses on large and complex data sets.
  • Experience in leveraging modeling algorithms to derive business insights.
  • Experience with experimental test design such as A/B testing.
  • Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI); experience with Looker a plus.
  • Analytical, creative, and innovative approach to solving problems.
  • Strong written and verbal communication.
  • Ecommerce or retail analytics experience a plus.

Benefits & conditions

Pulled from the full job description Tuition reimbursement Paid parental leave Parental leave Health insurance 401(k) matching Paid time off Employee discount, * 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.

Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

About the company

Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems., Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, 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.

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