Data Scientist, Wayfair
Supply Chain Retail Technology
$121-132k
More information about location
3 days a week in office
A global online homeware marketplace
Be an early applicant
A global online homeware marketplace
1001+ employees
Be an early applicant
$121-132k
More information about location
3 days a week in office
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Proficient knowledge of SQL and statistical programming language(s) such as Python, R, SAS, or SPSS (Python preferred)
- Expert at conducting quantitative analyses on large and complex data sets, including ability to explain techniques to both technical and non-technical stakeholders
- Experience with experimental test design (e.g., A/B testing; Multivariate and Multi-Armed Bandit) and statistical analysis to drive business decision making
- Experience in using AI-powered platforms to enhance and accelerate Data Science output (i.e. generating SQL and researching techniques using ChatGPT, analyzing text using Gemini Pro…)
- Experience with data visualization software (e.g. Google Looker Studio/Looker, Tableau, PowerBI)
- Experience applying data science techniques and partnering with business teams on agile model development
- Strong written and verbal communication skills covering objectives, status, results, and recommendations
- Bachelors in computer science, engineering, math, statistics, economics, Operations Research, Industrial engineering or other quantitative discipline; Masters preferred
- 3+ years work experience in relevant field
What the job involves
- The Supply Chain Retail Technology Data Science team is dedicated to understanding and optimizing user interactions with our Supply Chain & Retail Technology suite of tools and products
- SCRT Data Science is responsible for integrating analytics into the DNA of these growing tech teams, unlocking the insights that will guide the business in our quest for cost-efficient, perfect orders, at scale, with AI and data science techniques playing a crucial role in processing vast datasets and predicting optimal outcomes
- We bring a multidisciplinary blend of analytical aptitude, technical expertise, business strategy, and stakeholder management. Moreover, we're a highly collaborative, supportive team that values learning, psychological safety, and intentional career development
- Own the insights that inform the SCRT product roadmap, including driving outcomes within Fulfillment, Transportation and Service Technology
- Perform deep-dive analysis, including the application of advanced analytical techniques and data science models, to solve critical and complex business problems
- Leverage AI-powered platforms and tools to enhance existing analytical frameworks, automate data discovery, identify hidden patterns, and generate prescriptive recommendations, accelerating the delivery of actionable insights to product and engineering teams
- 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
- Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core metrics and user behavior
- Build machine learning proof-of-concepts by developing Python code to train models and visualize their outputs, in order to demonstrate the art of the possible to stakeholders
- Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner
- Stay abreast of the latest advancements in AI and machine learning, particularly as they apply to supply chain, logistics, and service technology, and advocate for their strategic adoption to maintain a competitive analytical edge
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 HQ
Prudential / St. Botolph, Boston, MA
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.
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