Staff Data Scientist

Staff Data Scientist – Credit & Marketplace

Up to $280k base + significant equity

New York | In‑office (3–4 days/week)

We’re partnering with a Series A fintech building a credit‑led marketplace — a platform where data science sits at the heart of both credit decisioning and marketplace optimisation.

This is a rare opportunity to join at a stage where models are still being defined, not inherited. The team is hiring a Senior to Staff‑level Data Scientist to help shape the decision engine that determines who gets access to credit, how risk is priced, and how the marketplace allocates supply and demand.

They’re open to two backgrounds — but only at the very top end of the market:

• Credit / lending data scientists
• Elite marketplace data scientists (pricing, ranking, matching, experimentation)
• ✅ Successful Series A (o similar) experience is strongly preferred

Why This Role Is Different

Most DS roles optimise metrics. This one moves money. Your models will directly impact:

• Credit approval decisions
• Pricing and margin
• Portfolio performance and growth velocity

This is not a reporting or support role — it’s a core decision‑making seat for someone with a high grade ML / Data Science skillset.

What You’ll Do

• Design, build and iterate on credit underwriting and pricing models used in live production
• Tackle high‑stakes, constrained optimisation problems across credit and marketplace decisioning
• Apply causal and experimental thinking where clean A/B tests aren’t possible
• Own the full lifecycle: EDA → modelling → deployment, partnering closely with engineering
• Help define modelling standards, trade‑offs, and decision frameworks at an early stage

Who They’re Looking For

• Staff‑level Data Scientist
• Strong preference for successful Series A (or early Series B) experience
• Background in credit, lending, fintech, BNPL, or adjacent decisioning‑heavy domains like marketplace
• PhD or PhD‑level rigour strongly preferred (but not required if experience demonstrates depth)
• Strong Python & SQL; comfortable owning production‑facing logic
• Someone who thrives in ambiguity, speed, and ownership

Compensation & Logistics

• Base salary up to $280k (depending on level)
• Significant equity
• NYC based, 3–4 days in office
• No visa sponsorship
• If you’ve already helped scale a Series A company — and want to do it again with real ownership and influence — this is a rare opportunity.