What are the responsibilities and job description for the Data Scientist (Dataiku) - 180 position at DSM-H Consulting?
Open to Dallas, TX as well
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:
- Daily standup meetings
Team Structure
- Work on a project with 3 other people (includes project leader)
Work environment:
Office
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
(Required)
- Multi-agent architecture and orchestration patterns
o Agent collaboration, planning, delegation, and workflow orchestration
o Reusable agent frameworks and reference architectures
- Security, access control, and governance
o Role-based access control (RBAC), personas, authorization models, and guardrails
o Auditability, and compliance considerations
- Enterprise integrations and data access patterns
o Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
o Event-driven and batch processing architectures
o API and workflow integration best practices
- Agent evaluation, testing, and observability
o Offline and online evaluation methodologies
o Groundedness, relevance, hallucination detection, and task-success measurement
o Automated regression testing, monitoring, observability, and performance tracking
- Prompt engineering and agent design patterns
o Prompt optimization techniques, reusable prompts, skills, tools, and agent design frameworks
- Human-in-the-loop workflows
o Approval processes for high-impact business decisions
o Escalation paths, feedback loops, and continuous improvement mechanisms
- Dataiku application development and user experience
o Dataiku WebApps, user experience design, and production-ready front-end development
o Best practices for enterprise adoption and usability
- Deployment, operationalization, and scalability
o Deployment automation, monitoring, and governance
- Cost and performance optimization
o LLM selection and deployment strategies
o Latency, token consumption, and operational cost management
o Performance tuning and optimization best practices
(Desired)
- MCP experience in multi-agent system to coordinate communication across agents (Agent to Agent)
Soft Skills
(Required)
- Team player
(Desired)
- Good communication skills