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21 час назад

Data Science Manager (AI Products)

230 000 - 280 000$
Формат работы
hybrid
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

Data Science Manager (AI Products): Lead a team building AI/ML and agentic systems for personalized customer experiences in home services with an accent on LLM-powered products, orchestration frameworks, and production deployment. Focus on architecting end-to-end solutions, owning technical decisions, and driving measurable business impact through experimentation and iteration.

Location: Hybrid schedule based in New York/Manhattan office (Tuesday-Thursday), remote Mondays and Fridays. This role requires US work authorization; no visa sponsorship or corp-to-corp.

Salary: $230,000 - 280,000 total cash compensation per year (New York City) + equity

Company

hirify.global Home empowers partners in the home services ecosystem, focusing on energy sector growth through AI-enabled applications and data models as part of a global portfolio of high-growth companies.

What you will do

  • Lead a team of 3+ data scientists, setting direction, managing performance, hiring, and developing careers.
  • Architect AI/ML and agentic solutions, author code, review PRs, and ensure high standards.
  • Partner with PMs, engineering, and business to deliver data science initiatives aligned with strategy.
  • Translate business problems into scoped AI solutions with planning and estimation.
  • Build and ship LLM-powered and agentic systems from prototype to production, owning monitoring and iteration.
  • Drive experimentation, define metrics, and represent data science in cross-functional discussions.

Requirements

  • Bachelor’s +8 years, Master’s +6 years, or PhD +4 years experience.
  • Proven track record delivering production ML/generative AI solutions.
  • Hands-on with LLM/agentic systems and frameworks like LangChain, LangGraph, OpenAI Agents SDK.
  • Familiarity with AI stack: OpenAI, Gemini, Claude, AWS Bedrock.
  • Understanding of ML/LLM lifecycle, MLOps/LLMOps, tools like LangSmith, MLflow.
  • Business acumen for translating problems into shipped ML solutions driving outcomes.
  • Experience leading/mentoring data scientists while staying technical.

Culture & Benefits

  • Health, dental, vision insurance; life, short/long-term disability; FSA.
  • 401(k) with match; holiday pay; employee assistance program.
  • Paid parental bonding; flexible PTO (20 days/year, 25 after 5 years).
  • Diverse, inclusive teams; commitment to equal opportunity and accommodations.

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