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4 дня назад

Director Data Science (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
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

Director Data Science (AI): Establishing and scaling enterprise-wide deep analytics and predictive intelligence capabilities with an accent on ML/GenAI integration and business value translation. Focus on building high-performing teams, designing end-to-end analytics architecture, and driving ROI through production-ready ML solutions.

Location: Must be based in or able to commute to Atlanta, GA or Dallas, TX

Company

hirify.global is a global leader in business cloud software, providing industry-specific suites that leverage data science and user-centric design to drive digital transformation.

What you will do

  • Define enterprise machine learning strategy and identify high-value use cases.
  • Build and lead high-performing data science teams to deliver production ML systems.
  • Embed data science tools into organization-wide decision-making processes.
  • Architect end-to-end analytics solutions, from data collection to LLM/GenAI implementation.
  • Manage P&L impact and present the ROI of analytics investments to C-suite leadership.
  • Oversee model lifecycle management, MLOps practices, and production infrastructure scalability.

Requirements

  • Experience in data science, analytics, machine learning, or GenAI with a track record of managing high-performing teams.
  • Proven ability to deploy production ML systems that drive measurable business outcomes.
  • Hands-on expertise with Python, Spark, TensorFlow/PyTorch, and cloud-native architectures.
  • Strong background in GenAI/LLM application development, including fine-tuning, RAG, and Agentic AI frameworks.
  • Experience operating within enterprise software, SaaS, or B2B technology environments.
  • Expertise in influencing executive leadership and driving organizational change.

Nice to have

  • Experience with AWS AI services such as Bedrock or SageMaker.
  • Strong background in customer-centric analytics like churn prediction and customer lifetime value.
  • Published research, patents, or thought leadership demonstrations in the field.

Culture & Benefits

  • Collaborative environment based on Principle Based Management (PBM).
  • Commitment to diversity, equity, and inclusion across global teams.
  • Focus on innovation, individual growth, and long-term value creation.
  • Global exposure working with market-leading industry cloud software.

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