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14 часов назад

SMB Analytics & Data Science Lead (AI/Fintech)

230 000 - 270 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
SMB Analytics & Data Science Lead (AI/Fintech): Building analytical and data products, predictive models, and decisioning tools for small-business credit, fraud, and financial-risk decisions with an accent on cash-flow analytics, production machine learning, and LLM-powered solutions. Focus on developing scalable models, mining complex financial datasets, and leading the end-to-end lifecycle from feature engineering through deployment and monitoring.

Location: New York, United States

Salary: $230,000–$270,000 annually plus equity and benefits.

Company

hirify.global provides AI-powered workflow, document data capture, fraud detection, cash-flow analytics, and decisioning products for lenders.

What you will do

  • Analyze large datasets covering business cash flow, financial health, credit, repayment performance, and marketplace dynamics.
  • Partner with Product, Engineering, senior management, clients, and prospects to develop and commercialize analytical and data products.
  • Lead research and development of data science and decisioning products while mentoring colleagues on business and technical topics.
  • Build scalable predictive models for credit risk, fraud detection, transaction classification, entity resolution, and small-business financial health.
  • Translate ambiguous business challenges into well-defined data science problems and balance model complexity with interpretability and delivery timelines.
  • Own the model lifecycle from data exploration and feature engineering through deployment, monitoring, and continuous improvement.

Requirements

  • 7+ years of professional experience in risk management, analytics, or data science, including production decision strategies and predictive models.
  • Significant knowledge of small-business credit, including underwriting, pricing, and portfolio management.
  • Hands-on experience using LLMs and advanced AI tools to create products and solutions.
  • Strong statistics, probability, machine learning, software engineering, and data engineering fundamentals.
  • Excellent Python and SQL skills, with experience using pandas, scikit-learn, Hugging Face, Snowflake, or Postgres.
  • Bachelor’s or Master’s degree in a quantitative discipline and strong communication skills for technical and client-facing audiences.

Nice to have

  • Experience with messy financial data such as bank transaction streams, financial statements, or credit reports.
  • A portfolio of data science or analytics accomplishments, including source code.

Culture & Benefits

  • Remote-first company environment with opportunities to grow skills and take ownership.
  • Culture centered on empathy, curiosity, humility, and ownership.
  • Inclusive workplace that values diverse perspectives.
  • Equity and employee benefits included with the full-time role.

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