Senior Data Scientist

Chicago

Morningstar

Morningstar is an investment research company offering mutual fund, ETF, and stock analysis, ratings, and data, and portfolio tools. Discover actionable insights today.

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About the Role

In this role, you will participate in the analysis of new feature/content requests and help multifunctional development teams to understand WHAT needs to be done to meet internal and external user’s needs through Morningstar’s next-generation data platform. You will also participate in the design/implementation of models to help with analysis of large datasets. You will be responsible for helping SOLVE the problem through use of up-to-date methods including AI/ML implementation. Finally, you will write documentation to build a deep knowledge base for global client support teams to investigate issues and answer clients’ questions. The ideal candidate will have a passion for data and technology, excellent communication capability, and the ability to develop a strong understanding of Morningstar data and methodologies. 

This position is based in our Toronto office. We follow a hybrid policy of 3 days onsite and 2 days remote work.

Job Responsibilities:

  • Design and implement models that can analyze large datasets
  • Develop and implement statistical, Machine Learning and AI solutions to make systems and processes more efficient
  • Execution of both statistical and predictive analysis
  • Communicate with internal and external clients, client success teams to understand and clarify business requirement
  • Convert business requirements into actionable solutions through detailed analysis such as calculation prototyping, usage analysis, and data mapping/mining/locating in various data sources
  • Ability to understand and surface repetitive methodologies to drive uniformity in data (consilience)
  • Gathering, cleaning, and processing raw data/data sets
  • Analyzing and interpreting unstructured data sets
  • Comprehends functional requests from direction of product team and help determine solution validity and/or alternate options
  • Leads team discussions to determine MVP for new projects
  • Stay abreast of industry trends and advancement in data science, Machine Learning, and AI continuously improving our methodologies and technologies

Qualifications:

  • 3+ years of advanced business analysis or data science
  • 1-2+ years of experience with Morningstar software and or Data (bonus if in calculated or analytical data sets)
  • Self-motivated, excellent work ethic, strong interpersonal and communication skills, ability to work in a team environment
  • Excellent problem-solving skills
  • Ability to learn quickly and work independently
  • Advanced knowledge in data business and methodology of Equity, Fund, and Fixed Income
  • Advanced knowledge of SQL, Python – a must have
  • Advanced knowledge of Jupyter notebook, Amazon web service
  • Intermediate knowledge of Plotly and PowerBI

 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Jupyter Machine Learning MVP Plotly Power BI Prototyping Python SQL Statistics Unstructured data

Perks/benefits: Career development Salary bonus

Region: North America
Country: United States

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