Morningstar - Data Scientist

Morningstar

The Group : Morningstar's Research group provides independent analysis on individual securities, funds, markets, and portfolios. The Research group also provides data on hundreds of thousands of investment offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors' interests is the foundation of our company.- '

Job Description :

The Role: As a Data Scientist, you will be a leading contributor in the implementation of Artificial Intelligence (AI) within Data Collections software applications, API's, and other data products. This role requires significant interaction with both upstream and downstream stakeholders across Technology, Data, Products, Sales/Service, and Research

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.

Requirements :

- Hands-on with Python data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming

- Know ML libraries like Scikit-learn, XGBoost, imblearn, SciPy, Gensim

- Experience with DASK/Modin /Multiprocessing modules

- Hands on experience of TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Residual Networks

- Database and SQL knowledge (like Postgres, SQL Server, MySQL etc)

- Software engineering best practices, REST services, UNIX, Code versioning

- Experience of working on Linux based environment

Good to have :

- Working experience of Design patterns/System design, cython

- Data visualization and model Interpretability through matplotlib/plotly, Lime/sharp

- Data handling through Data Augmentation, Pyspark, Accelerate, beautifulsoup/scrappy,

- Advanced Deep Learning knowledge of optimization, Distributed training/computing, Language models, Attention, Transformers

- Experience with Docker containers, data versioning

- Experience with any of Machine comprehension, translation, elastic search, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence models

- Document analysis using Image processing/computer vision and geometric deep learning

How is it to work with Data collection AI team at Morningstar ?

You get to work on :

1. Research work coupled with business value

2. Machine learning development Lifecyle, i.e. End to end project development (Not just POCs)

3. Exposure to advanced workspace on cloud environment

4. Encouragement for innovation and ideation