<p><p><b>Description :</b><br/><br/>As a Data Scientist, you'll play a critical role in uncovering insights that shape strategic decisions and improve business performance.
You will explore data trends, diagnose gaps, and identify growth and innovation opportunities across Wayfair's data.
Your work will directly impact how the company understands performance and makes data-informed decisions.<br/><br/><b>Responsibilities :</b></p><p><br/>- Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities.<br/><br/></p><p>- Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business.<br/><br/></p><p>- Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis.<br/><br/></p><p>- Drive innovation in business analysis by adopting and implementing new methodologies (e.
g., key driver analysis, anomaly detection, forecasting, cohorting).<br/><br/></p><p>- Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities.<br/><br/></p><p>- Collaborate with cross-functional partners including Business Strategy, Product, and Engineering uncover actionable insights that drive growth and improve customer experience.<br/><br/></p><p>- Design, run, and interpret A/B tests to make high-impact changes to the customer experience.<br/><br/></p><p>- Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL, and Python to enable efficient and self-serve data access for stakeholders.<br/><br/></p><p>- Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and :</b></p><p><br/>- Bachelor's in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Master's preferred.<br/><br/></p><p>- 3 - 5 years of work experience in a relevant field, such as analytics or data science.<br/><br/></p><p>- Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.<br/><br/></p><p>- Proficient knowledge of SQL (incl.
Aggregate functions, joins, etc.).<br/><br/></p><p>- Experience conducting quantitative analyses on large and complex data sets.<br/><br/></p><p>- Experience in leveraging modeling algorithms to derive business insights.<br/><br/></p><p>- Experience with experimental test design, such as A/B testing.<br/><br/></p><p>- Experience with data visualization software (e.
g.
Google Data Studio, Tableau, Power BI); experience with Looker is a plus.<br/><br/></p><p>- An analytical, creative, and innovative approach to solving problems.<br/><br/></p><p>- Strong written and verbal communication.<br/><br/></p><p>- Ecommerce or retail analytics experience is a plus.</p><br/></p> (ref:hirist.tech)