Data Scientist III

Cullerton Group

Morton (IL)

On-site

USD 95,000 - 128,000

Full time

7 hours ago
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Job summary

Cullerton Group invites applications for a Data Scientist III to design and build enterprise AI agents that detect supply-chain disruptions and automate workflows. The role is onsite in Morton, Illinois, or Dallas, Texas, for six months with potential to convert to permanent employment.

You will use Dataiku, Snowflake Cortex, Python, and modern agentic AI frameworks to develop secure, scalable solutions based on structured enterprise data, focusing on architecture, governance, testing, and

Qualifications

  • BS in a quantitative or technical field.
  • 5–7 years of data science or AI/software experience.
  • Experience building AI agents with Dataiku and Snowflake Cortex.
  • Strong Python and workflow automation skills.
  • Knowledge of enterprise data platforms and security.

Responsibilities

  • Design and build AI agents using Dataiku and Snowflake Cortex.
  • Develop automated workflows with Dataiku recipes and Python.
  • Create multi-agent architectures for collaboration and orchestration.
  • Integrate AI agents with Teams, SharePoint, APIs and data sources.
  • Implement RBAC, guardrails, governance and auditability.
  • Develop production-ready Dataiku WebApps and UX.
  • Optimize model selection, latency, and cost.

Skills

AI agent development
Python programming
Dataiku
Snowflake Cortex
Agent frameworks
Data-driven analytics
RBAC / security concepts

Education

Bachelor’s degree in computer science or related field

Tools

Dataiku
Snowflake Cortex
LangGraph
LangChain
Dataiku WebApps

Job description

Cullerton Group has a new opportunity for a Data Scientist III. The work will be performed onsite in Morton, Illinois, or Dallas, Texas. This is a six-month position that can lead to permanent employment with our client. Compensation is $81/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay).

Job Summary

The Data Scientist III will design and build enterprise AI agents that identify supply-chain disruptions, generate alerts, and automate corrective workflows. This position will use Dataiku, Snowflake Cortex, Python, and modern agentic AI frameworks to develop secure, scalable solutions based primarily on structured enterprise data. The engineer will focus on agent architecture, orchestration, integrations, testing, evaluation, governance, and production deployment. This role will also establish reusable best practices and help other team members develop expertise in Dataiku’s agentic AI capabilities.

Key Responsibilities
  • Design and build AI agents using Dataiku and Snowflake Cortex
  • Develop automated workflows using Dataiku recipes and Python
  • Create multi-agent architectures supporting collaboration, planning, delegation, and workflow orchestration
  • Integrate AI agents with Microsoft Teams, SharePoint, email, PDFs, APIs, and enterprise data sources
  • Implement role-based access controls, authorization models, guardrails, auditability, and governance standards
  • Develop offline and online evaluation methods for groundedness, relevance, hallucination detection, and task success
  • Create automated regression tests, monitoring, observability, and performance-tracking capabilities
  • Design human-in-the-loop approval processes, escalation paths, and feedback mechanisms
  • Develop production-ready Dataiku WebApps and user experiences
  • Optimize model selection, latency, token consumption, performance, and operating costs
  • Test agent outputs, refine code, and communicate progress during daily stand-up meetings
  • Establish reusable agent frameworks, reference architectures, prompts, tools, and development standards
  • Share technical knowledge and train team members on agentic AI technologies and practices
Required Qualifications
  • Bachelor’s degree in artificial intelligence, data science, computer science, or a related quantitative or technical field
  • 5–7 years of relevant data science, artificial intelligence, machine learning, or software development experience
  • Demonstrated experience building AI agents with Dataiku and Snowflake Cortex using structured data
  • Strong Python programming experience, including developing workflow automation and programming logic
  • Experience using Dataiku recipes for enterprise workflow automation
  • Experience with LangGraph, LangChain, CrewAI, or comparable agentic AI frameworks
  • Knowledge of multi-agent architecture, collaboration, planning, delegation, and orchestration patterns
  • Experience creating reusable agent frameworks and reference architectures
  • Understanding of RBAC, authorization, guardrails, security, governance, auditability, and compliance
  • Experience integrating AI solutions with APIs and enterprise collaboration and data platforms
  • Knowledge of event-driven and batch-processing architectures
  • Experience evaluating, testing, monitoring, and operationalizing AI agents
  • Understanding of prompt engineering, agent design patterns, human-in-the-loop workflows, and escalation processes
  • Ability to work onsite in Morton, Illinois, or Dallas, Texas
  • Strong teamwork, communication, teaching, and knowledge-sharing skills
Preferred Qualifications
  • Master’s or doctoral degree in a quantitative or technical discipline
  • Experience with Model Context Protocol in multi-agent systems and agent-to-agent communication
  • Experience developing Dataiku WebApps and production-ready user interfaces
  • Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Experience with advanced statistical methods, machine learning, and data visualization
  • Familiarity with industrial equipment, product analytics, aftermarket analytics, demand forecasting, or supply-chain analytics
  • Experience mentoring or upskilling technical teams in emerging AI technologies
  • Experience optimizing LLM selection, deployment, latency, performance, token use, and operational costs
Why This Role?

This position offers an opportunity to apply emerging agentic AI technology to meaningful supply-chain challenges with direct operational impact. The successful candidate will help shape enterprise standards for agent architecture, security, evaluation, integration, and deployment while working on a focused project team. The role also provides an opportunity to serve as a technical expert and expand the organization’s capabilities through hands-on development and knowledge sharing. Cullerton Group provides a professional environment with growth potential and exposure to advanced enterprise AI initiatives.

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