Senior Data Scientist

• Design & develop AI/ML solutions to be flexible, scalable & extensible. 
• Build solutions that incorporates cognitive techniques such as statistics, machine leaning, NLP, deep learning, transfer learning
• Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras, pytorch etc. 
• Excellent at feature engineering, Exploratory data analysis and data visualization
• Keen to work on cloud-based ML solutions using AWS,GCP,Azure,IBM Watson etc.
• Innovative, studies research papers and implement them. Curious to learn latest algorithms and concept and use them professionally
• Develop areas of continuous and automated deployment
• Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster
• Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling.
• 3-5 years of experience in data science, machine learning field 
• An advanced degree in engineering, computer science, statistics or related field is preferred 
• Expertise with data science and python, machine learning, NLP and deep learning is essential
• Experience with back-end XML, relational databases (e.g. MS SQL, Postgres) 
• Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Serverless Lambda, EC2, RDS) 
• Experience of publishing the research paper in renowned forums

Morningstar is an equal opportunity employer.

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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.