Designing, implementation & maintenance of various data and machine learning-based components and applications for the website.
Work with large, complex data sets. Conduct end-to-end data analysis that includes data gathering and requirements specification, processing, analysis, visualization and delivering the necessary output.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Understanding various data structures used across various products within the organization.
Making business recommendations for the effective use of data across various business functions.
Day to day work involves NLP tasks like Information Extraction, Keyword Extraction or Keyword scoring as well as Recommendation & Personalization activities across various channels by building user profiles.
The data models built must also be tested in real-world environments for accuracy.
Computational performance in running the models on various devices also needs to be achieved prior to delivering the models for deployment.
Articulating business questions and using mathematical techniques to arrive at an answer using available data.