
Integrafec Llc Data Scientist interview typically runs 6 rounds: technical assessment, phone screen, HR screen, case study, live technical coding/logic interview, hiring manager interview. The process takes about 1-2 weeks and is assessment-heavy with multiple take-home filters.
$90K
Avg. Base Comp
$118K
Avg. Total Comp
5
Typical Rounds
3-6 weeks
Process Length
Our candidates report that Integrafec cares less about polished storytelling and more about whether you can reason from messy evidence. The strongest signal in these interviews is how you prioritize variables in a fraud setting: one candidate was pushed to explain which features mattered first in a fraud-detection dataset, while another had to identify what would flag fraudulent providers in a medical insurance file. That tells us the bar is not just technical fluency, but the ability to connect data choices to an investigative hypothesis.
A recurring theme is that the company mixes applied analytics with a few curveballs. Multiple candidates saw SQL and Python under time pressure, but they also ran into classic logic puzzles like the marble-and-100-floors problem and a basic CNN concept check. That combination suggests they’re screening for fundamentals plus adaptability — someone who can handle structured analysis, then pivot when the question becomes abstract or unfamiliar.
We’ve also seen that the process rewards clear thinking over memorized frameworks. Candidates described the interviewers as calm and friendly, but the questions kept coming back to how they would approach a hypothetical or incomplete dataset. In practice, that means the people who do best here are the ones who can explain tradeoffs, separate signal from noise, and stay grounded when the prompt is intentionally open-ended.
Synthetized from 2 candidates reports by our editorial team.
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Real interview reports from people who went through the Integrafec Llc process.
I applied online and pretty quickly got a HackerRank assessment, which was the first real filter. The technical test was not especially difficult, but it was broad: several Python coding questions and SQL questions, all under a time limit of about 40 minutes, with a week to complete it after the email came in. After that I moved on to a quick phone interview, and then the process opened up into a case-style round and a coding round before a final hiring manager conversation. Everyone I spoke with was calm and friendly, which helped a lot because the process felt more like steady evaluation than a stressful grilling.
The most memorable part was the case interview. I was given a dataset and a prompt around fraud detection, and the interviewer wanted to hear how I would think through which variables to prioritize. In another round, I was asked to reason about a medical insurance dataset and identify what might indicate fraudulent providers. The questions were less about memorizing a framework and more about explaining my thought process clearly: what signals I would look for first, how I would separate useful variables from noise, and how I would approach the problem if the data were hypothetical rather than fully specified. There was also a coding assessment where I had to write a few lines using an abstract helper function, and one question that was basically the marble floor problem, which caught me off guard because it was a classic interview puzzle rather than a data science-specific task. I also got a simple conceptual question about CNNs and when they are used.
I didn’t make it through the full process. My takeaway was that this interview leaned heavily on practical judgment: be ready to talk through fraud-related feature prioritization, basic SQL/Python under time pressure, and a few curveball coding or ML concept questions.
Prep tip from this candidate
Practice explaining how you would prioritize variables in a fraud-detection case, especially for a medical-insurance-style dataset. Also review a few short HackerRank-style Python/SQL questions and be ready for an abstract helper-function coding prompt plus a classic puzzle like the marble floor problem.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Integrafec Llc
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Synthesized from candidate reports. Individual experiences may vary.
Candidates apply online and are reviewed before being invited to the first assessment. In the experiences shared, this step moved quickly into a technical test rather than a long recruiter-led process.
The first major filter is a HackerRank, CodeSignal, or similar assessment covering Python, SQL, and basic data manipulation. One candidate also described a technical statistics exam and a dataset analysis task with 10 to 15 questions, with SQL carrying significant weight.
After passing the assessment, candidates have a short phone interview. This call includes both motivation questions, such as why you want to work at Integrafec, and light technical or fundamentals-based discussion. Some candidates reported an HR screen after the initial phone call and assessments. This stage appears to focus on general fit and process alignment before the deeper technical rounds.
Candidates are given a fraud-focused case with a dataset and asked how they would approach the problem. The interviewer looks for clear reasoning about which variables to prioritize, how to separate signal from noise, and how to think through fraud detection in ambiguous or hypothetical data.
This round tests practical coding and problem-solving live, often with Python or SQL-style questions plus logic puzzles. Candidates reported questions like writing code with an abstract helper function, classic marble/100-floors style problems, and basic ML concepts such as when CNNs are used. The process ends with a hiring manager conversation, which includes behavioral discussion and overall fit. This appears to be the final evaluation before a decision is made.