Senior Data Scientist – Natural Language Processing

6 months ago

Old Toronto, Canada ScholarLink Inc. Full time

Company: ScholarLink

Location: Hybrid (In-person and Remotely)

About ScholarLink: ScholarLink is a fast-growing startup dedicated to 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. As we continue to expand our offerings and user base, we are seeking a talented Senior Data Scientist specializing in Natural Language Processing (NLP) to join our dynamic team and drive innovation in academic research.

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:

  • Research and Development: Lead the research, design, and implementation of advanced NLP algorithms and models to extract structured information from unstructured scholarly content, including academic papers, articles, and research datasets.
  • Text Processing and Analysis: Develop robust pipelines for text preprocessing, feature extraction, and semantic analysis to enable effective search, summarization, and classification of academic literature.
  • Information Retrieval and Recommendation Systems: Design and optimize algorithms for content recommendation, citation analysis, and personalized user experiences based on NLP-driven insights.
  • Model Evaluation and Optimization: Conduct rigorous experimentation and performance evaluation of NLP models, leveraging techniques such as cross-validation, hyperparameter tuning, and benchmarking against industry standards.
  • Collaboration and Communication: Collaborate closely with product managers, software engineers, and domain experts to integrate NLP solutions into the ScholarLink platform, and effectively communicate technical concepts and findings to non-technical stakeholders.
  • Continuous Learning and Innovation: Stay abreast of the latest developments in NLP research, methodologies, and tools, and proactively identify opportunities to apply emerging techniques to enhance ScholarLink's capabilities.

Qualifications:

  • Ph.D. or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with a strong focus on NLP.
  • Proven track record of 5+ years of experience in designing and implementing NLP algorithms and models, preferably in a research or industry setting.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, and 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.
  • Strong analytical and problem-solving skills, with the ability to translate complex research concepts into practical, scalable solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, interdisciplinary team environment.
  • Publications or contributions to the NLP research community, such as papers, patents, or open-source projects, would be a plus.

Benefits:

  • Competitive salary and equity options.
  • Remote-friendly work environment with flexible hours.
  • Opportunities for professional development and career growth.
  • Collaborative and inclusive company culture with a focus on innovation and impact.

How to Apply: If you are passionate about leveraging NLP to drive innovation in academic research and are excited about the opportunity to make a meaningful impact at ScholarLink, we would love to hear from you Please send your resume, along with a cover letter highlighting your relevant experience and contributions to the hello@scholarlink.ai.

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