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Ryan Brunner has over ten years of experience recruiting, interviewing, and hiring candidates in the healthcare, public service, and private manufacturing/distribution industries.
In the financial services field, machine learning is being used to automate processes, provide information security, create algorithms for trading and to assist in credit scoring. Moodys is looking to stay at the forefront of their field and this role as a Data Scientist will play a huge part in making this a reality. Talk about any experience that you have in working with data to create a robust machine learning tool. What was your role in the project and what can you bring to the team at Moodys?

Ryan Brunner has over ten years of experience recruiting, interviewing, and hiring candidates in the healthcare, public service, and private manufacturing/distribution industries.
"Over the course of the last two years, I've been working on a machine learning tool that monitors online pricing from thousands of different retailers. The tool analyzes thousands of data sources simultaneously and pulls the information into a real time database. My job was in the build of the program and the database while working with other colleagues that built out the sourcing for the websites we would pull data from. I think this experience would fit nicely with your team looking to extract real time market data and trading data on a minute to minute basis."

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Written by Ryan Brunner
27 Questions & Answers • Moodys

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