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 MID Data Collections AI team. 

Responsibilities: 

• Design & develop AI/ML solutions to be flexible, scalable & extensible. 
• 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 cognitive techniques such as statistics, machine leaning, NLP and deep learning
• Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras etc. 
• Develop areas of continuous and automated deployment. 
• Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster. 

Requirements: 

• 3-5 years of experience in data science 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) 

Intermediate knowledge of statistical methods is desirable 

• Familiarity with common data cleaning and munging techniques 
• Familiarity with data visualization is a plus (e.g. Tableau, Shiny, d3) 
• Familiarity with mutual fund, fixed income, and equity data domain is a plus 

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.