LendingTree Mock Interview
Practice 27 LendingTree interview questions covering fintech products, customer service, and sales strategies.
Question 18 of 27
Data Scientist is a fairly new role here at LendingTree. Why do you feel that you can make the jump into the financial industry as a data scientist?
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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.
As finance becomes more heavily reliant on data, the need for well educated Data Scientists is becoming a need at LendingTree. And while your background may not be filled with experience in the financial field, it will be your job to convince your interviewer that you have the skills necessary to be strong Data Scientist while also having some great knowledge of the financial industry. Be open and honest of where your strong point fall and where you feel you have the most to learn while being open to making that progress in the field with LendingTree.
Ryan Brunner has over ten years of experience recruiting, interviewing, and hiring candidates in the healthcare, public service, and private manufacturing/distribution industries.
"As you can see from my resume, I have a very strong educational and work background in data science. My work experience in the tech industry has helped me grow in many areas that can be beneficial to the team here at LendingTree. I think that my experience in mining and cleaning raw data, paired with my experience in machine learning, could significantly benefit your clients that are seeking new and improved market data."
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