Data Scientist

Title: Data Scientist, Mumbai 

Location: Vashi, Navi Mumbai 

Company: Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities. 
Morningstar India has been a Great Place to Work-certified company for the past eight consecutive years. 

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.
The Data scientist will transition approved Data Collections AI products from a prototype phase to a fully-fledged, scalable, and consumer service. Often, these services must be integrated into Morningstar’s platform of financial products, so that our clients can use these software tools in the investment decision-making process.
We are looking for an individual who possesses strong technical development skills, an ability to follow analyst requirements and technical specifications for robust code, and a passion for investment research.
This position reports to the Tech Manager of the Investment Services AI team.

Shift: General  

Responsibilities: 

• Design & develop enterprise solutions to be flexible, scalable & extensible. 
• Improve complex data flow, data structures and database design to move to next platform. 
• Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling. Enforce good agile practices like test driven development, Continuous Integration. 
• Build solutions that incorporate numerical techniques such as linear algebra, machine leaning, statistics, and optimization. 
• Hands-on development will be an integral part of the responsibilities. 
• Develop areas of continuous and automated deployment. 
• Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster. 
• Follow best practices like estimation, planning, reporting and improvement brought to processes in every day work. 

Qualifications: 

• 1-3 years of experience in data science field 
• An advanced degree in engineering, computer science, statistics or related field is preferred 
• Expertise with either Python or Java is essential, while experience with both is desirable; other programming language skills are highly desirable. Experience with Python packages like pandas, scikit-learn, TensorFlow, numpy, NLTK is a plus. 
• Basic knowledge of statistical/ML/AI algorithms 
• Experience with DevOps tools (e.g. Splunk, Git, uDeploy, Jenkins, Control-M) is desirable 
• Experience with Agile software engineering practices 
• Experience with back-end XML, relational, and file-based databases (e.g. SQL, Postgres, Redshift, Netezza, HDFS) 
• Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Lambda, EC2, RDS, EMR) 
• Experience with the Hadoop stack (MapReduce, Pig, Hive, Nifi, Spark) is desirable 
• Experience with at least one statistical modeling language (e.g. R, MATLAB, Python) 

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.