Senior Data Scientist

4 weeks ago

Old Toronto, Ontario, Canada ScholarLink Inc. Full time
About ScholarLink

ScholarLink is a pioneering startup that is revolutionizing the way academic research is accessed, organized, and analyzed. Our platform leverages cutting-edge technology to streamline the research process, making scholarly content more accessible and impactful for researchers, students, and institutions worldwide.

Role Overview

As a Senior Data Scientist specializing in NLP at ScholarLink, you will play a pivotal role in advancing our platform's capabilities through the development and implementation of state-of-the-art NLP algorithms and models. You will collaborate closely with cross-functional teams to extract valuable insights from scholarly content, enhance search and recommendation systems, and contribute to the overall success of our product.

Key Responsibilities
  1. Lead the research, design, and implementation of advanced NLP algorithms and models to extract structured information from unstructured scholarly content.
  2. Develop robust pipelines for text preprocessing, feature extraction, and semantic analysis to enable effective search, summarization, and classification of academic literature.
  3. Design and optimize algorithms for content recommendation, citation analysis, and personalized user experiences based on NLP-driven insights.
  4. Conduct rigorous experimentation and performance evaluation of NLP models, leveraging techniques such as cross-validation, hyperparameter tuning, and benchmarking against industry standards.
  5. Collaborate closely with product managers, software engineers, and domain experts to integrate NLP solutions into the ScholarLink platform.
Requirements
  • Proven track record of 5+ years of experience in designing and implementing NLP algorithms and models.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in programming languages such as Python or R.
  • Solid understanding of NLP techniques and methodologies, including text mining, sentiment analysis, entity recognition, topic modeling, and word embedding.
  • Experience with large-scale data processing tools and platforms, such as Apache Spark, Hadoop, or AWS/GCP/Azure services.
What We Offer

Remote-friendly work environment with flexible hours.

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