Open Position: Data Scientist for DSI

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Job Description: We are seeking a skilled and versatile Data Scientist to join our team. As a Data Scientist, you will play a critical role in leveraging data-driven insights to solve complex problems. You will collaborate with cross-functional teams, engage with academic researchers, and work closely with industry clients to deliver impactful data science solutions. Our initial focus will be Natural Language Processing (NLP)


  • Apply advanced data analysis, statistical modeling, and machine learning techniques to extract insights from large and complex datasets.
  • Develop predictive models and algorithms to address business challenges and support decision-making.
  • Collaborate with software engineers to implement and deploy data science solutions into production.
  • Collaborate with academic researchers to stay up-to-date with the latest advancements in data science and contribute to cutting-edge research.
  • Engage with industry clients to understand their data-related needs and design customized solutions.
  • Communicate findings and insights to both technical and non-technical stakeholders through visualizations, reports, and presentations.


  • Master’s or Ph.D. degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related fields.
  • Strong proficiency in programming languages like Python and R.
  • Hands-on experience with data preprocessing, feature engineering, and model development.
  • Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation libraries (e.g., pandas).
  • Knowledge and experience of relevant techniques and skills that showcase your  expertise in the NLP domain, among others:
  • Text Preprocessing
  • Contextual Embeddings, e.g., BERT, GPT, Transformer-based models
  • Text Classification and Sentiment Analysis
  • Libraries and frameworks: NLTK, spaCy, Gensim, Transformers (Hugging Face)
  • LLMs, generative LLMs – Text Generation using Recurrent Neural Networks (RNNs) and Transformers
  • Autoencoder-Decoder Techniques
  • Excellent problem-solving skills and the ability to think critically about complex issues.
  • Effective communication skills and the ability to work collaboratively in cross-functional teams.
  • Prior experience in working on data science projects with industry partners.

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