Job Title: Data Scientist
Location-Onsite full time/Morton IL or Dallas TX
Interview-1 round- if the candidate is in Peoria area then we will do in-person otherwise Virtual
Job Summary
Value Technology is seeking for a Data Analyst to collect, analyze, and interpret data to support business decision-making. The ideal candidate will work with business and technical teams to identify trends, build reports and dashboards, and provide actionable insights from complex datasets.
Position’s Contributions to Work Group
- As AI continues to evolve, there is a need to quickly learn new technology and build AI Agents and use them to create alerts & automate workflows.
- Most of the company’s structured data resides in Snowflake.
- We are looking for an expert who has experience building AI Agents in Dataiku & Snowflake and using Dataiku recipes & Python for workflow automation
Typical task breakdown
- Understand the objective
- Write code in Snowflake & Dataiku to build AI Agents
- Test output and update code
Interaction with team
Team Structure
- Work on a project with 3 other people (includes project leader)
Work environment
Education & Experience Required:
- Years of experience: 5-7years
- Degree requirement: Bachelors in AI, Data Science, Computer Science
- Do you accept internships as job experience: Yes
- Are there past or additional job titles or roles that would provide comparable background to this role: No
Top 3 Skills
- Built agents in Dataiku & Snowflake Cortex (critical) - structured data
- Workflow automation in Dataiku recipes & Python (write programming logic)
- Experience with LangGraph, Langchain, CrewAI
Additional Technical Skills
- Multi-agent architecture and orchestration patterns
- Agent collaboration, planning, delegation, and workflow orchestration
- Reusable agent frameworks and reference architectures
Security, access control, and governance
- Role-based access control (RBAC), personas, authorization models, and guardrails
- Auditability, and compliance considerations
Enterprise integrations and data access patterns
- Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
- Event-driven and batch processing architectures
- API and workflow integration best practices
Agent evaluation, testing, and observability
- Offline and online evaluation methodologies
- Groundedness, relevance, hallucination detection, and task-success measurement
- Automated regression testing, monitoring, observability, and performance tracking
Prompt engineering and agent design patterns
- Prompt optimization techniques, reusable prompts, skills, tools, and agent design frameworks
Human-in-the-loop workflows
- Approval processes for high-impact business decisions
- Escalation paths, feedback loops, and continuous improvement mechanisms
Dataiku application development and user experience
- Dataiku WebApps, user experience design, and production-ready front-end development
- Best practices for enterprise adoption and usability
- Deployment, operationalization, and scalability
- Deployment automation, monitoring, and governance
Cost and performance optimization
- LLM selection and deployment strategies
- Latency, token consumption, and operational cost management
- Performance tuning and optimization best practices
- MCP experience in multi-agent system to coordinate communication across agents (Agent to Agent)
Soft Skills
- Team player
- Good communication skills
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