Job Description

The Group: Morningstar\xe2\x80\x99s 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\xe2\x80\x99 interests is the foundation of our company.

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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\xe2\x80\x99s, and other data products. This role requires significant interaction with both upstream and downstream stakeholders across Technology, Data, Products, Sales/Service, and Research

Requirements:

• Experience in extracting data / information, through complex semi-structured and unstructured documents using NLP & Parsing
• Analyzing 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.
• Good Understanding, Skills & Hands-on Experience in:

Must Haves

• NLP, Scraping, Parsing including libraries such as NLTK, Gensim, Spacy, Scrapy, beautifulsoup, regex etc.
• Deep Learning including Keras, TensorFlow / PyTorch, Neural Networks, such as CNN, LSTM/GRU/RNN/CNN/GAN/Residual Networks etc.
• Supervised, unsupervised, semi-supervised, few shot / zero shot learning including EDA, training, modelling, hyper-parameter tuning, API creation etc. in Regression & Binary/Multiclass classifications in algorithms such as Decision Trees, SVM, XGBoost etc.
• Python data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy etc. including libraries such as Scikit-learn, imblearn, SciPy etc.
• Basic Database & SQL knowledge (like Postgres, SQL Server, MySQL etc)

Desirables

• AWS services like EC2, Beanstalk, Lambda including Containerization, Docker images etc.
• Generative AI, Transfer Learning, Transformers, Embeddings, LLMs, Prompt Engineering, Encoders, Decoders etc.
• Object oriented programing(OOP) & Rest API

Morningstar is an equal opportunity employer

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

Experience

For Associate Data Scientist: Min Relevant Exp: 1 yr to 2 years

Data Scientist: Min 2 to 4 yrs relevant experience

Sr Data Scientist: 4yrs to 7 yrs relevant experience

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar\xe2\x80\x99s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We\xe2\x80\x99ve found that we\xe2\x80\x99re at our best when we\xe2\x80\x99re 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\xe2\x80\x99ll have tools and resources to engage meaningfully with your global colleagues.

Morningstar