Data Scientist
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: New York City, United States; on-site
Salary: $180,000β$230,000 base annually, plus equity and bonus
Company
is a profitable fintech founded in 2019 that provides credit cards, buy-now-pay-later loans, bill payments, and a marketplace through a mobile-first app for consumers in Mexico.
What you will do
- Design and deploy causal inference models for underwriting and portfolio management.
- Build algorithms for credit pricing, personalization, and ranking.
- Develop production-grade models that directly influence consumer credit access and company margins.
- Lead ML infrastructure projects and ensure model observability and operational excellence.
- Balance statistical rigor with rapid delivery in a high-stakes credit environment.
Requirements
- Strong academic background in statistics, machine learning, or a related field; a PhD is preferred.
- Deep understanding of classification, forecasting, optimization, and causal inference theory.
- At least 5 years of experience applying data science in production environments.
- Production-grade Python and SQL skills.
- Willingness to work on-site in NYC.
Culture & Benefits
- Significant equity and equity refreshers for employees.
- Medical, dental, and vision insurance fully covered for employees and 50% covered for dependents.
- Unlimited PTO, 401(k), and extended maternity and paternity leave.
- Relocation support and a sabbatical program.
- Fast-paced experimentation culture with transparent communication and low bureaucracy.
Hiring process
- Hiring manager conversation.
- Business case or technical assessment relevant to the role.
- On-site interview in NYC, followed by an offer.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β