• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Oct 2022

·         Work cross-functionally with other roles within the CX Analytics Team, Commercial Technology broadly to tune models and ensure value created from models.

·         Collaborate with business process owners to validate model outputs and construct an appropriate training

·         Design final model architecture with a production environment in mind; Work with Shop Engineering teams to maintain best practices for up time, integration and robust ness.

·         Support models in the deployed production environment

·         Lead development of production-ready models for delivery windows, product recommendations, inventory availability, search relevance optimization, customer segmentation, feature personalization, frequentist and Bayesian inference for experimentation, etc.

·         Work directly with product management to identify and frame business problems that will likely respond to quantitative methods.

·         Develop and test search relevancy models

·         Offline search testing infrastructure design and implementation in collaboration with the data engineering team

·         Collaborate with the search feature team to guide and conduct offline and online experiments

·         Speed online and offline experiment cycle times through automated reporting and analysis tools.

·         Support data analysts with statistical expertise, especially as relates to experimentation

·         Communicate methodologies and results to less- and non-technical audiences.

Required Experience:

·         4+ years of experience accessing and manipulating data in SQL or NoSQL database environments

·         2+ years of experience with scientific scripting languages (e.g., Python, R, SAS) and/or object-oriented programming (e.g., C++, Java).

·         3+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required.

·         5+ years of overall analytics experience, can be inclusive of post-graduate work.

·         Experience with event data, AWS cloud infrastructure, S3 data lake with a Presto/Athena interface and Optimizely’s online testing platform preferred.