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4 часа Π½Π°Π·Π°Π΄

Data Scientist

180Β 000 - 230Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US/Mexico
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Scientist (Causal Inference/Credit): Building the decision engine for credit underwriting and portfolio management in an emerging-market fintech with an accent on causal inference, credit pricing, personalization, and ranking. Focus on designing production-grade statistical models, solving constrained optimization problems, and leading ML infrastructure projects with operational observability.

Location: New York City, United States; on-site

Salary: $180,000–$230,000 base annually, plus equity and bonus

Company

hirify.global 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’