Hi everyone — I’m in the final round for a Pricing DS role at Opendoor, and the last interview is with the Head of Data.
Any advice on what to expect in this kind of leadership round? Especially around pricing/product intuition, experimentation, or stakeholder discussions. Thanks!
Hi everyone,
I got an interview for a TikTok USDS Data Science role focused on Payment Risk / Pricing Risk.
The role seems to involve payment fraud, credit losses, financial abuse, transaction monitoring, dashboards, ML-based risk detection, and reducing false positives while maintaining strong fraud recall. It also mentions consumers, merchants, and affiliates, so I’m guessing the work may involve areas like chargebacks, suspicious transactions, merchant risk, payout/disbursement risk, or affiliate abuse.
My first round is expected to be SQL + a risk/product analytics case study, and I’ve never done this exact type of interview before.
Has anyone interviewed for a similar TikTok USDS, payment risk, fraud analytics, fintech risk, or product DS role?
I’m especially curious about:
Any advice or example questions would be super helpful. Thanks!
Hi everyone,
I got an interview for a TikTok USDS Data Science role focused on Payment Risk / Pricing Risk.
The role seems to involve payment fraud, credit losses, financial abuse, transaction monitoring, dashboards, ML-based risk detection, and reducing false positives while maintaining strong fraud recall. It also mentions consumers, merchants, and affiliates, so I’m guessing the work may involve areas like chargebacks, suspicious transactions, merchant risk, payout/disbursement risk, or affiliate abuse.
My first round is expected to be SQL + a risk/product analytics case study, and I’ve never done this exact type of interview before.
Has anyone interviewed for a similar TikTok USDS, payment risk, fraud analytics, fintech risk, or product DS role?
I’m especially curious about:
Any advice or example questions would be super helpful. Thanks!