Two candidates describe Verizon data scientist interviews that mix easy Python and SQL, machine learning fundamentals, stakeholder and behavioral questions, and an AI or GenAI discussion.
$135K
Avg. Base Comp
$160K
Avg. Total Comp
3 rounds
Typical Rounds
Not reported
Process Length
Verizon's data scientist interviews, as two candidates describe them, test breadth more than depth. The candidate who received an offer reported three rounds: a first round combining easy Python and SQL with machine learning questions, a second with two associate directors covering more technical questions and working with stakeholders, and a third with another director that centered on GenAI and general conversation. The coding was easy: a Python palindrome check and SQL group bys and joins.
The candidate who did not receive an offer described a different path: an online assessment with two easy-to-medium coding problems, an in-person group discussion about e-commerce sites, a non-eliminatory AI round where they built a solution to a problem statement, and a hiring manager round. That last round covered their AI work, projects and behavioral topics, plus bias-variance tradeoffs and project planning. After they named DBMS as a favorite subject, they were immediately asked a database query question, and missing it seemed to decide the outcome.
For prep, get easy Python and SQL fast and clean, review ML trade-offs and handling missing data, and prepare a short story about using AI on a real problem. Only name a favorite technical topic if you can answer practical questions on it on the spot.
Synthesized from 2 candidate reports by our editorial team.
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Featured question at Verizon
Select the 2nd highest salary in the engineering department
| Question | |
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| Prime to N | |
| Bagging vs Boosting | |
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| Google Maps Improvement | |
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| Unlimited Plan Abuse | |
| Deciding Between Solutions | |
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| Client Solution Pushback | |
| Stakeholder Communication | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Evaluating Revenue Decline | |
| Identical Pen Pricing | |
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Synthesized from candidate reports. Individual experiences may vary.
The candidate who received an offer describes a first round that combined coding and technical questions. Python was an easy LeetCode-style palindrome check, SQL was easy with group bys and joins, and the machine learning questions covered pros and cons of different methods and working with missing data.
The same candidate then met two associate directors. The round included more technical questions along with behavioral questions about working with stakeholders. Be ready to explain your technical decisions in terms a business partner would follow.
The third round was with another director and was described as a GenAI and general conversation. This candidate received an offer. Prepare to talk about how you think about generative AI and where you have applied it or would apply it.
A second candidate who did not get an offer began with an online assessment of two easy-to-medium coding problems, then an in-person group discussion on e-commerce sites and a non-eliminatory AI build round. The hiring manager round covered AI work, projects, behavioral topics, bias-variance tradeoffs and a database query question.
