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Data Scientist II at Wayfair — Bengaluru

Experience3–5 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted2 Sept 2026

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About Wayfair

Wayfair is hiring in Bengaluru in ecommerce retail. This role looks for around 3+ years of experience.

Skills

Python
SQL
A/B testing
statistical analysis
data visualization
quantitative analysis
modelling algorithms

The role

A data scientist at an e-commerce retail company applies statistical analysis and experimental design to large-scale customer and business data, using Python, SQL, and Looker to produce insights, dashboards, and recommendations. The role combines data science with A/B testing, modelling algorithms, and quantitative analysis for customer experience and profitable growth.

Full job description

Responsibilities:

Construct optimised code that processes 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 organisation, 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 behaviour.

Design, execute and analyse 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.

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.

Requirements:

Bachelor's in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Master's preferred.

3 - 5 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 modelling algorithms to derive business insights.

Experience with experimental test design, such as A/B testing.

Experience with experimental design (A/B tests) and statistical analysis to drive business decision-making required.

Experience with data visualisation software (e. g., Google Data Studio, Tableau, PowerBI); experience with Looker is a plus.

An analytical, creative, and innovative approach to solving problems.

Strong written and verbal communication.

Ecommerce or retail analytics experience is a plus.