Job Description:

As a Data Scientist, your responsibilities will include:

  • Developing algorithms and constructing systems to uncover hidden trends and insights from user-generated content, such as resumes, job descriptions, and profile data sourced from various channels, encompassing numeric, structured, and unstructured text and image formats.
  • Identifying potential business challenges that can benefit from machine learning solutions.
  • Brainstorming, defining metrics, and executing strategies to address these challenges, securing stakeholder buy-in.
  • Identifying opportunities to enhance user experience through personalization and predictive analytics.
  • Creating intelligent systems to capture and analyze behavioral data, enriching content understanding.
  • Selecting cutting-edge machine learning tools for tasks spanning natural language processing (NLP), deep learning, semantic search, and learning-to-rank (LTR) to develop accurate and scalable recommendation and information retrieval systems.
  • Designing solutions for scalability and real-time performance on extensive datasets, leveraging big data technologies to optimize infrastructure and enhance performance.
  • Engaging in external discussions, publishing research papers, staying abreast of the latest developments in the field, and building professional networks.

Required Skills:

  • Profound understanding and research expertise in machine learning, deep learning, NLP, information retrieval, and artificial intelligence.
  • Extensive practical experience in applying machine learning techniques to address real-world business problems, spanning a wide array of algorithms covering classification, regression, discriminative, generative, supervised, unsupervised, and semi-supervised learning, as well as linear and non-linear dimensionality reduction, feature extraction, selection, and learning.
  • Industry experience in implementing diverse machine learning solutions at scale to develop intelligent systems.
  • Exceptional problem-solving abilities with a strong research-driven mindset.
  • Proficiency in managing, creating pipelines, and processing big data.

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