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Lead Data Scientist

Full-time Mid-Senior level

Job Overview

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.

Requirements

  • Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.
  • 5+ years of experience in AI/ML strategy, leadership, and delivery.
  • Minimum of 12 years of experience is required
  • Proven ability to build and scale enterprise-level AI/LLM platforms.

  • Technical & Strategic Requirements
    • Strategic AI Leadership:
      • Defines and drives AI roadmaps aligned with corporate goals.
      • Oversees model lifecycle from experimentation to production.
    • LLM & NLP (Architect Level):
      • Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.
      • Leads fine-tuning or domain-specific pretraining using proprietary datasets.
      • Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.
      • Defines governance, compliance, and security standards for LLM deployments.
      • Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.
    • Infrastructure & Governance:
      • Owns data governance policies, feature stores, and model observability infrastructure.
      • Collaborates with DevOps and Security to ensure scalability and resilience.
    • Team & Stakeholder Leadership:
      • Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).
      • Communicates directly with executive management and non-technical stakeholders.
      • Evaluates vendors and partnerships for AI acceleration.

  •  Leadership Competencies
    • Visionary mindset driving innovation across business units.
    • Excellent executive communication and influence skills.
    • Focused on measurable ROI, scalability, and ethical AI.
    • Mentors senior scientists, defining best practices and research direction.

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