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3 дня назад

Director of Data Science (AI)

Формат работы
remote (только USA)
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 of Data Science (AI/ML): Architecting and deploying complex data science and agentic AI systems for an AIOps platform with an accent on predictive modeling and production-scale ML. Focus on designing foundational AI capabilities, leading a high-performing team, and aligning AI investments with business strategy.

Location: Remote (United States)

Company

hirify.global is a leader in IT Operations Management (AIOps), providing actionable insights to resolve and predict problems across cloud and distributed architectures.

What you will do

  • Architect and deploy end-to-end data science and agentic AI systems, from foundational capabilities to production.
  • Build and validate high-complexity predictive models and machine learning solutions to solve core business problems.
  • Define enterprise-level best practices for AI/ML experimentation, governance, and operationalization.
  • Manage and mentor a team of three data scientists, overseeing their growth and career trajectories.
  • Partner with Product and Engineering leadership to align AI investments with business strategy.
  • Design and implement A/B testing frameworks to evaluate model effectiveness and impact.

Requirements

  • 10–15 years of experience in data science, machine learning, or a related field.
  • 3–5+ years of experience leading and growing a data science team.
  • Proven track record of architecting and deploying production ML models at scale.
  • Proficiency in Python or R and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Must be based in the United States.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or Mathematics.

Nice to have

  • Hands-on experience building agentic AI systems, LLM applications, or NLP solutions.
  • Experience with cloud platforms (AWS, GCP, or Azure) for ML.
  • Familiarity with big data technologies like ClickHouse, Spark, Hadoop, or Databricks.
  • Strong knowledge of SQL and experience with data visualization tools (Tableau, Power BI).

Culture & Benefits

  • Comprehensive medical, dental, and vision plans.
  • 401(k) plan with employer match.
  • Flexible Paid Time Off (FTO) and Volunteer Time Off (VTO).
  • 5-year Service Milestone Sabbatical and paid parental leave.
  • Pet insurance and generous employee referral bonus program.

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