SE/SSE- Data Science (Search and Match)

Overview

Monster and CareerBuilder

Position Overview

As the newest addition to our existing Data Science team, you'll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You'll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products- More towards the role required.

Required Skills

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
• Expert knowledge in Python.
• Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design .
• Experience with Solr/OpenSearch/Elasticsearch
• Experience with embedding & vector search
• Should have done one or more projects involving fine-tuning with LLMs
• Experience infeature selection, building and optimising classifiers.
• Experience working with backend technologies such asFlask/ Gunicorn etc.
• Experience on working with open source library such Spacy,NLTK,Gensim etc
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
• Be a keen learner and enthusiastic about developing software.

Responsibilities

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience