Principal Data Scientist, Payments Intelligence at wex · Remote (United States)
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Python
A time you used Python: the problem, what you did yourself, and what happened.
From the ad's requirements
SQL
A time you used SQL: the problem, what you did yourself, and what happened.
From the ad's requirements
10+ years of experience
How your experience adds up to what they ask for (10+ years), and the parts most like this job.
From the ad's requirements
10+ years of relevant experience in data science or a related quantitative discipline, including hands-on work building production machine-l
An example from your own work that shows this.
From the ad's requirements
Deep subject-matter expertise in payments, credit cards, payment transactions, or payment infrastructure. Strong domain understanding is ess
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From the ad's requirements
Experience in several relevant areas such as authorization, acceptance, interchange, BINs, merchant behavior, payment routing, fraud/risk, t
An example from your own work that shows this.
From the ad's requirements
Ability to understand not only what happened in payment data, but why it happened and what the business could do differently.
An example from your own work that shows this.
From the ad's requirements
A builder and entrepreneurial mindset: able to independently identify an opportunity, explore data, test a hypothesis, prototype a solution,
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From the ad's requirements
Strong product instincts and judgment to distinguish technically interesting work from work that creates measurable business value.
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From the ad's requirements
Ability to work directly with Product, Engineering, Commercial, Risk, and business leaders and to communicate clearly and succinctly with di
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From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for wex on JobRipe yet. Use the job ad and our guide below.
Only figures we have enough data for. Nothing is estimated.
We show an employee rating once wex has at least 5 published verified reviews. Company page
Interview difficulty and process length appear once 5 candidates have reported them.
Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Rigour.
How to answer: Metric choice, baselines, offline vs online tests.
Why they ask: Communication.
How to answer: Problem, approach, impact, limits.
Why they ask: Machine Learning is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: Python is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them