Data Scientist, Specialist

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience designing AI agents that reason, plan, and act across systems.
  • Hands-on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Strong experience working with unstructured text and language-driven workflows.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or a related field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of hands-on Python experience; experience with distributed data processing is a plus.
  • Excellent communication skills, able to convey complex ideas to diverse audiences.

Responsibilities

  • Partner with business stakeholders to identify and prioritize AI-related problems.
  • Translate business needs into clear AI use cases and delivery plans.
  • Focus on achieving business outcomes through AI initiatives.
  • Architect and develop AI systems capable of reasoning and planning across multiple tools.
  • Design solutions to automate complex, multi-step processes.
  • Collaborate with engineers to deploy scalable and secure AI systems.
  • Act as an AI advisor, helping teams understand the value of Agentic AI and LLMs.

Benefits

  • Visa sponsorship offered for the position.
  • Hybrid working model promoting flexibility and collaboration.
  • Culture focused on mission-driven work and employee development.
Full Job Description

Responsibilities:

Solve Business Problems with AI

  • Partner with business stakeholders toidentify, frame, and prioritize highvalue problems that can be addressed using Agentic AI, LLMs, and NLP.
  • Translate business needs intoclear AI use cases, success metrics, and delivery plans.
  • Focus onbusiness outcomes, not just model performance.

Design & Build Agentic AI Solutions

  • Architect and developagentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
  • Design multiagent and toolaugmented LLM solutions to automate complex, multistep processes.
  • Ensure solutions arereliable, explainable, and governed for enterprise use.

Scalable & Responsible AI

  • Collaborate with engineering teams to deploy AI solutions withscalability, security, and performance in mind.
  • Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
  • Align solutions with enterprise risk management, compliance, and responsible AI standards.

Thought Leadership & Collaboration

  • Act as atrusted AI advisor, helping teams understand where Agentic AI and LLMs add valueand where they do not.
  • Contribute to AI best practices, reusable patterns, and strategic direction.
  • Mentor peers and teammates on applied AI and businessdriven problem solving.

Qualifications:

  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
  • Large Language Models (LLMs): Handson experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Natural Language Processing (NLP): Strong experience working with unstructured text and languagedriven workflows.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of handson Python experience; experience with distributed data processing is a plus.
  • Strong ability tosolve business problems using AI, not just build models.
  • Excellent communication skills, with the ability to explain complex concepts to both technical and nontechnical audiences.
  • Experience working in crossfunctional, enterprise environments.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

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