Senior Manager, Search Relevancy

JC Penney   •  

Plano, TX

8 - 10 years

Posted 238 days ago

This job is no longer available.

Core Requirements & Competencies:

  • Work on information retrieval and Machine Learning algorithm development and implementation for's Search Platform
  • Strong understanding of advanced relevancy, ranking, and scoring algorithms
  • Knowledge of Relevancy Classification and simulation using NDCG, CTR and CTS models
  • Work on personalizing search results and derive meaningful information from structured/semi-structured data such as product catalogs, social web, transactions and query logs
  • Design and Develop models using NLP and ML which help in improving the Search-experience on and thus enhancing the overall customer experience
  • Develop new ranking features and techniques by leveraging lexical and behavioral information
  • Contribute to analysis of functional requirements by working closely with the product team
  • Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment of relevancy modules
  • Collaborate with other engineers and related teams internally to find technical solutions to complex design problems
  • Work in an agile environment to deliver high quality software against aggressive schedules
  • Participate and promote architectural initiatives, balancing long-term velocity with short-term customer needs 

Minimum Qualifications:

  • 7+ years of software development experience with at least one full cycle implementation from requirement to production
  • 3+ years previous people leadership, specifically in an on/off-shore model. Have a passion for building team.
  • 5+ years of hands-on experience in least one high-level scriptinglanguage such as JavaScript, Python, or Ruby
  • 3+ years experience in using Machine Learning and data mining techniques
  • Proficiency in Java or other Open Object Oriented Software Development
  • Experience with Solr Search Engine
  • Experience in analyzing behavioral data on search systems
  • Ability to communicate well and discuss complex topics with both technical and business audiences
  • Ability to deal well with ambiguous and undefined problems
  • Results-oriented with a strong customer focus
  • Experience in Ecommerce industry


Desired Qualifications:

  • Experience using Hadoop platform for analyzing data
  • Experience or exposure with Spark and Hive
  • Experience building Solr components such as filters and scoring components
  • MS in Computer Science or related technical field