The Supply Chain Retail Technology Data Science team at Wayfair is looking to optimize user interactions with their Supply Chain & Retail Technology suite of tools and products by integrating analytics and leveraging AI and data science techniques to process vast datasets and predict optimal outcomes.
Requirements
- 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.
Responsibilities
- 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.
- 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.
Other
- Own the insights that inform the SCRT product roadmap, including driving outcomes within Fulfillment, Transportation and Service Technology.
- 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.
- 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
