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21 час назад

Data Scientist, ML (Agentic, CX, Fintech)

123 000 - 185 000$
Формат работы
hybrid
Тип работы
fulltime
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

Data Scientist, ML (Agentic, CX): Building and deploying machine learning models and prompts for multi-agent orchestration in customer experience systems with an accent on evaluation frameworks, personalization, and reliability guardrails. Focus on designing experiments, advancing agent architectures, and integrating reasoning loops, tool usage, and feedback systems in a regulated financial environment.

Location: Based in Menlo Park, CA or New York, NY offices, with in-person attendance expected at least 3 days per week

Salary: Zone 1 (Menlo Park, CA; New York, NY; etc.) $158,000 - $185,000 USD; Zone 2 $139,000 - $163,000 USD; Zone 3 $123,000 - $144,000 USD

Company

Fintech platform democratizing finance for all through AI-powered customer support, trading tools, and fraud prevention systems.

What you will do

  • Build and deploy ML models for customer support including intent classification, escalation detection, summarization, and multi-agent orchestration
  • Design evaluation frameworks with LLM reviews, human feedback, and automated metrics to catch regressions
  • Develop propensity, segmentation, and personalization models for proactive outreach and tailored AI experiences
  • Translate agent architecture advances into production via prompt design, retrieval, tool use, memory, and orchestration
  • Maintain response quality and reliability at scale in collaboration with product, engineering, legal, and compliance

Requirements

  • Strong Python and SQL skills with end-to-end ML system building and evaluation experience
  • Experience with agent-based AI: reasoning loops, tool use, memory, RAG, orchestration
  • Experience designing experiments and applying causal inference, A/B testing, measurement
  • Comfort with ambiguous problems and cross-functional collaboration with product and engineering

Nice to have

  • Building and evaluating agent-based systems for production
  • Recommendation, ranking, or personalization systems at scale
  • AI products in regulated industries like financial services

Culture & Benefits

  • Performance-driven compensation with bonuses, equity, and 401(k) matching
  • 100% paid health insurance for employees (90% for dependents), life/disability insurance, fertility, mental health benefits
  • Lifestyle wallet for wellness and learning, generous PTO, sick time, parental leave, company holidays
  • Exceptional office experience with catered meals, events, and comfortable workspaces

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