Machine Learning Engineer Interview Experience - Irving, Texas
February 1, 2025
Positive ExperienceNo Offer
Process
I applied online and got a screening call after days of applying. I scheduled a 1st round of interview, which was technical. I was asked about my previous experience and given a small dataset to build a linear regression model.
Questions
Given a dictionary, convert it into a dataframe and build a linear regression using the dataframe.
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Interview Statistics
The following metrics were computed from 1 interview experience for the CVS Health Machine Learning Engineer role in Irving, Texas.
Success Rate
0%
Pass Rate
CVS Health's interview process for their Machine Learning Engineer roles in Irving, Texas is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for CVS Health's Machine Learning Engineer interview process in Irving, Texas.
CVS Health Work Experiences
5.0
Machine Learning Engineer
Machine Learning Engineer • Current Employee
Nashville, Tennessee, United States
November 23, 2021
Pros: • 3+ years of experience in data analytics, statistical modeling, visualization, and machine learning.
Cons: Proficient in the Software Development Life Cycle, including requirements gathering, design specification, and testing as per the cycle in both Waterfall and Agile methodologies.
3.0
Team Growth, Management Chaos
Data Engineer • Former Employee
Irving, Texas, United States
October 30, 2025
Pros: If you’re on a good team, you can grow, learn, and be promoted.
Cons: Too much middle management, and yet no one knows how to get high-level decisions into technical requirements.
Q
5.0
Good Company, Bad Management
Sr Data Engineer • Current Employee
Irving, Texas, United States
October 9, 2025
Pros: Good company to work for.
Cons: Bad management. You don't like.
- 5.0Machine Learning EngineerMachine Learning Engineer • Current EmployeeNashville, Tennessee, United StatesNovember 23, 2021Pros: • 3+ years of experience in data analytics, statistical modeling, visualization, and machine learning.Cons: Proficient in the Software Development Life Cycle, including requirements gathering, design specification, and testing as per the cycle in both Waterfall and Agile methodologies.
- 3.0Team Growth, Management ChaosData Engineer • Former EmployeeIrving, Texas, United StatesOctober 30, 2025Pros: If you’re on a good team, you can grow, learn, and be promoted.Cons: Too much middle management, and yet no one knows how to get high-level decisions into technical requirements. Q
- 5.0Good Company, Bad ManagementSr Data Engineer • Current EmployeeIrving, Texas, United StatesOctober 9, 2025Pros: Good company to work for.Cons: Bad management. You don't like.
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