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59 ΠΌΠΈΠ½ΡƒΡ‚ Π½Π°Π·Π°Π΄

Senior Data Scientist (Fintech)

158Β 000 - 209Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK/US
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
Senior Data Scientist (Fintech): Building and maintaining production machine learning models and decision systems that personalize on-demand pay experiences, optimize financial decisions, and support fraud controls with an accent on feature engineering, model deployment, and production reliability. Focus on developing batch and real-time models, monitoring drift, executing A/B tests, and translating modeling tradeoffs into measurable business outcomes.

Location: NYC Headquarters; hybrid work format. Remote compensation tiers are also listed for the United States.

Salary: New York City $158,000–$209,000 annually with equity; Remote Premium $143,000–$189,000 annually with equity; Remote Standard $136,000–$179,000 annually with equity.

Company

hirify.global is a fintech worktech company providing an on-demand pay platform that helps employers offer employees access to earned wages.

What you will do

  • Build, improve, and maintain machine learning models for balance optimization, content personalization, user experience personalization, and fraud controls.
  • Develop reliable feature engineering pipelines and data infrastructure in partnership with engineering.
  • Develop, evaluate, deploy, monitor, and improve batch and real-time production models.
  • Evaluate AI, classical machine learning, statistical, and probabilistic approaches and recommend suitable techniques.
  • Apply data quality, validation, versioning, reproducibility, and auditability standards across model and pipeline work.
  • Partner with product and engineering stakeholders to define success metrics, communicate model tradeoffs, and connect technical results to business outcomes.

Requirements

  • 5+ years of data science and machine learning experience in fintech, payments, or a similarly regulated consumer domain.
  • Bachelor’s or advanced degree in computer science, machine learning, statistics, data science, or another quantitative discipline.
  • Production experience building models that drive measurable business outcomes and affect end-user experiences.
  • Advanced SQL and Python skills, with experience building and maintaining reliable feature engineering pipelines.
  • Hands-on experience with end-to-end model deployment, monitoring, drift detection, data pipelines, and A/B testing.
  • Experience owning production models where failures may have financial or compliance consequences.

Culture & Benefits

  • Health, vision, and dental coverage.
  • Equity ownership opportunity.
  • Life and AD&D insurance, short- and long-term disability coverage, and an Employee Assistance Program.
  • Employee Resource Groups, company outings, and events.
  • Unlimited paid time off.
  • 401(k) with company match and transparent career development.

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†’