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7 часов назад

Staff Data Scientist (AI)

175 000 - 205 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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

Staff Data Scientist (AI/Fintech): Developing and operationalizing data-driven solutions and GenAI agents for the RiskOS platform with an accent on fraud prevention, risk analytics, and scalable ML pipelines. Focus on designing LLM-powered tools for case investigations and building production-grade infrastructure for identity trust.

Location: Remote (Must be based in the US)

Salary: $175,000 – $205,000

Company

hirify.global is building the identity trust infrastructure for the digital economy to eliminate identity fraud and ensure online trust across industries.

What you will do

  • Develop advanced analytics on RiskOS data to identify fraud patterns and improve risk strategies.
  • Architect scalable data pipelines and production ML workflows for both batch and streaming use cases.
  • Lead the design and evaluation of Generative AI solutions, including LLM agents and prompt-based tools.
  • Build core DS infrastructure such as feature stores, model-serving APIs, and monitoring frameworks.
  • Deploy production-grade solutions with integrated telemetry, alerting, and feedback loops.
  • Mentor other data scientists and set company-wide standards for ML and GenAI explainability.

Requirements

  • Must be based in the US; sponsorship is not provided now or in the future.
  • Master’s or PhD in a quantitative field or equivalent professional experience.
  • 6+ years of experience in data science, ML, or data engineering, specifically in fraud/risk analytics.
  • Proven track record of applying Generative AI (LLMs, RAG, agents) in production contexts.
  • Deep proficiency in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, or PyTorch).
  • Experience with modern data platforms like Databricks, Spark, or BigQuery.

Nice to have

  • Direct experience with identity verification, fraud/risk modeling, or trust & safety.
  • Prior work on orchestration platforms, case-management tools, or decision engines.
  • Experience mentoring senior ICs and setting technical direction for a data science group.

Culture & Benefits

  • Competitive compensation including equity and bonus opportunities.
  • High-responsibility environment for individuals who move fast and act like owners.
  • Opportunity to solve complex, high-impact identity problems at a global scale.

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