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2 дня назад

Director, Data Science (AI)

177 300 - 248 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
c1
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

Director, Data Science (AI): Providing strategic and operational leadership for the development of advanced AI solutions in healthcare with an accent on clinical decision support and production-grade AI systems. Focus on leading senior data scientists, aligning AI research with business priorities, and deploying scalable foundation models.

Location: Hybrid role with a preference for Seattle-based talent

Salary: $177,300–$248,200

Company

hirify.global is a mission-driven healthcare organization focused on patient-centered care and evidence-based clinical solutions, backed by the stability of Hearst.

What you will do

  • Lead, coach, and develop a team of senior and staff-level data scientists.
  • Define technical direction and execution plans for AI initiatives aligned with business objectives.
  • Ensure successful delivery of production-ready AI models, workflows, and services.
  • Partner with Product, Engineering, and Clinical teams to prioritize and deliver customer-focused solutions.
  • Prototype and evaluate novel AI techniques, including agentic workflows and large language models.
  • Establish engineering best practices for experimentation, model evaluation, and operational excellence.

Requirements

  • Master's degree or Ph.D. in Computer Science, Machine Learning, AI, or related field.
  • At least 10 years of experience in machine learning, NLP, or AI, including production deployment.
  • Demonstrated experience leading teams of senior and staff-level data scientists.
  • Deep understanding of LLM architectures, prompt engineering, RAG, and model evaluation.
  • Strong proficiency in Python and modern ML frameworks like PyTorch.
  • Experience developing AI solutions in cloud environments (AWS, Azure, or GCP).

Nice to have

  • Experience in healthcare or highly regulated industries.
  • Experience with agentic AI systems and autonomous workflows.
  • Familiarity with Kubernetes, Databricks, or Flyte.
  • Experience with AI-assisted software development tools like GitHub Copilot or Cursor.

Culture & Benefits

  • Hybrid work environment with occasional travel (1–3 times per year).
  • Comprehensive medical, dental, vision, life, and disability insurance.
  • 401K retirement plan with flexible spending and health savings accounts.
  • Generous paid time off, 14 company holidays, and paid volunteer days.
  • Paid parental and bonding leave.
  • Pet insurance and LGBTQ+ health services.

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