Principal Data Scientist

As an expectation a fitting candidate must have / be :

• Ability to analyze business problem and cut through the data challenges.
• Ability to churn the raw corpus and develop a data / ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval
• Quick to develop the POCs and transform it to high scale production ready code.
• Experience in extracting data through complex unstructured documents using NLP based technologies.

Good to have : Document analysis using Image processing / computer vision and geometric deep learning

Technology Stack :

Python as a primary programming language.

Conceptual understanding of classic ML / DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc.

Morningstar is an equal opportunity employer.

Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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Skills Required

Scipy, Unix, Sql, Tensorflow, Rest Services, Nosql, Pytorch, XGBoost, CRF, Python