We’re bringing on our first Data Scientist — starting part-time, with a clear path to full-time as we grow.
Safeguest is a guest verification and damage protection platform for short-term rental hosts. We help hosts and property managers screen guests, score risk in real time, and offer damage protection and deposit-waiver products that replace traditional security deposits. Our risk engine sits at the center of every booking decision and every product we price — and we’re looking for the person who’ll make it world-class.
This is a founding data role, structured to start as a focused part-time engagement (≈2–3 days/week). You’ll deliver real, measurable wins in your first 90 days — and we expect this to grow into a full-time seat for the right person.
What you’ll own:
Guest risk scoring — turn verification, booking, and behavioral signals into real-time risk scores that beat our current rules
Fraud detection — catch fake IDs, stolen cards, and bad actors before check-in, without blocking good guests
Actuarial pricing — model claim frequency and severity to keep our protection products profitable
You’ll work directly with the co-founder, build our data and modeling foundations from scratch, and ship models that measurably reduce losses.
You’re a great fit if you have:
✅ 3+ years building and deploying ML models in production
✅ Strong grounding in statistics and probability
✅ Hands-on experience in fraud/risk, credit/underwriting, or actuarial/insurance pricing
✅ Comfort with messy, imbalanced, real-world data
✅ A pragmatic, ownership-driven mindset — you scope, prioritize, and ship
Bonus points for: insurtech / fintech / payments background, MLOps experience, or short-term rental / marketplace domain knowledge.
Why this setup: Starting part-time lets us move fast together and prove the impact — with founding-team equity and a genuine path to full-time as the role grows.
Interested, or know someone who’d be perfect? Drop a comment or DM me.
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