Data Scientist

What You'll do:

• Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images.
• Ideate, formulate, create metrics and execute on such problems and get buy in from business.
  
• Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences.
• Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions.
  
• Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks.
  

What makes you a great fit:

• Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas.
• Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature extraction, feature selection, feature-learning.
• Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems.
• Ability to capture, manage, create pipelines and process Big Data.
  
• Ability to understand business challenges and define solutions aligned to the needs.