• US Citizen

• Green Card

• Corp-Corp

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 21st 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,