Data Scientist, Wayfair
Recommendation Analytics
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- We are looking for a highly motivated and solution-oriented Data Scientist to join our Search & Recommendation Analytics team
- Master's and/or Bachelor’s degree in a quantitative field
- 2+ years work experience in quantitative analytics, testing and/or predictive modeling
- Professional experience in writing code in structured programming languages (Python, R), writing scripts using GBQ or SQL, creating Pivot Tables and Vlookups in Google Sheets or Excel, and using data visualization tools such as Data Studio, Looker, Tableau or PowerBI
- Experience in leveraging A/B testing and other experimentation methodologies for effective product launch measurement
- Experience applying data science techniques such as classification, regression, and clustering; and partnering with business teams on agile model development
- Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis
- Proven track record of taking ownership and driving results. Thrive in a fast-paced environment
- Strong business acumen, analytical skills, and technical abilities along with problem-solving skills
- Collaborative mindset that thrives as part of a team
- Data and process-oriented, demonstrated ability to continuously learn new tools
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously
- Ability to navigate an environment of continuous improvement working through ambiguity in an evolving organization
What the job involves
- The team leverages Wayfair’s huge datasets to inform the roadmap of our recommendations
- We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists, and product managers who are on the leading edge of the search and product recommendation space
- Own and develop the strategic analytic agenda to unlock insights and guide the business
- Collaborate with cross functional partners and ensure that there is strong alignment between Wayfair’s business objectives and our Data Science driven strategies
- Bring your expertise in A/B testing to identify, design, execute, and analyze tests to make high-impact changes to the customer site and app experiences
- Develop key metrics and reporting to measure how initiatives are improving Wayfair’s performance and enabling our team to easily identify trends, root causes and develop targeted action plans
- Leverage your modeling skills and apply data science techniques to solve ambiguous problems
- Build prototypes and dashboards to translate large data sets into driving insights and action
- Communicate key insights and recommendations to cross-functional executive leaders across the organization
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionize online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company values
- Relentless Customer Focus: Delivering an exceptional customer experience drives everything we do. We invest in understanding our customers and partners. We are all in customer service
- Deliver Rsults With Agility: We prioritize work that drives long-term value. We execute with urgency, learn from failure, and nimbly pivot. The outcomes of our efforts are impactful, measurable results
- Use Good Judgement: We are bold and confident, never reckless. We make reasoned, calculated decisions based on data, critical thinking, and pattern recognition
- Build the Best Team: We lead by setting the bar high, articulating clear goals, and diving deep. We hire, develop, and leverage only the best. Our leaders continually reevaluate and strengthen their teams and do not shy away from hard decisions. We expect and demonstrate excellence
- Collaborate Effectively: We invest in cross-functional global partnerships that maximize impact and minimize duplication. We prize collaboration in all interactions – with our teammates, stakeholders, and suppliers. We disagree, align, and commit. Effectiveness and efficiency in collaboration are required.
- Respect Others: We earn and show respect, treating our teammates and partners with empathy and inclusion. We presume good intent while prioritizing impact. We balance confidence and candor with humility and kindness.
- Be an Owner: We are Wayfair first. We act on what’s best for the company, ahead of team or individual goals. We spend every dollar as if it is our own. We take pride in Wayfair’s success while planning the next win. We always think long-term
- Innovate & Improve: We are not limited by precedent. We boldly challenge the norm. We continually identify opportunities to innovate, improve, and simplify. We value incremental improvements, but we also look for game-changing breakthroughs.
- Adapt & Grow: We value adaptability and self-reflection. We find opportunity in every change, experience, and mistake. We are committed to continuous self-improvement.
Company HQ
Prudential / St. Botolph, Boston, MA
Articles
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
Salary benchmarks
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