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Senior Data Scientist
1 month ago
ScholarLink is a pioneering 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.
Role OverviewAs 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- Lead the research, design, and implementation of advanced NLP algorithms and models to extract structured information from unstructured scholarly content.
- Develop robust pipelines for text preprocessing, feature extraction, and semantic analysis to enable effective search, summarization, and classification of academic literature.
- Design and optimize algorithms for content recommendation, citation analysis, and personalized user experiences based on NLP-driven insights.
- Conduct rigorous experimentation and performance evaluation of NLP models, leveraging techniques such as cross-validation, hyperparameter tuning, and benchmarking against industry standards.
- 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.
- 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.
- Remote-friendly work environment with flexible hours.