Data Scientist II, Customer Technology

Wayfair

5 - 10 years

25 - 30 Lacs

bengaluru

Posted:7 hours ago| Platform:

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Skills Required

product management supply chain computer science data science sas agile spss sql python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

What Youll Need

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.
5+ years work experience in relevant field

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