Data Scientist
Tellus Solutions
Job Description:
Responsibilities:
Responsibilities:
- Understand the objective (of the assigned project/use case)
- Write code in Snowflake & Dataiku to build AI Agents
- Test output and update code
- Build AI Agents in Dataiku & Snowflake Cortex using structured data
- Use AI Agents to create alerts and automate workflows
- Perform workflow automation in Dataiku recipes & Python (write programming logic)
- pply multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)
- Develop reusable agent frameworks and reference architectures
- Implement security, access control, and governance (RBAC, personas, authorization models, guardrails)
- Ensure auditability and compliance considerations
- Build enterprise integrations and data access patterns (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)
- Work with event-driven and batch processing architectures
- pply API and workflow integration best practices
- Conduct agent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)
- Perform automated regression testing, monitoring, observability, and performance tracking
- pply prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)
- Design human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement mechanisms)
- Develop Dataiku applications and user experience (Dataiku WebApps, production-ready front-end development, enterprise adoption best practices)
- Handle deployment, operationalization, and scalability (deployment automation, monitoring, governance)
- Perform cost and performance optimization (LLM selection, latency, token consumption, operational cost management, performance tuning)
- Upskill the current team in the latest Dataiku Agentic AI technology
- Share knowledge and teach this new technology to team members
- Establish best practices reusable across multiple AI programs and use cases
- pply theory and concept in contributing to solutions in the assigned area
- Perform data collection and analysis
- Conduct development, validation, application, and refinement of statistical models
- pply related digital technologies in processing both inputs and outputs from models
- Participate in daily standup meetings
- Collaborate on a project with 3 other people (including project leader)
- Bachelor's degree in AI, Data Science, or Computer Science (required)
- Internships accepted as job experience
- cceptable equivalent technical degrees: Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics
- Master's or PhD also acceptable
- 5-7 years of professional experience
- 2+ years of experience applying Python (NumPy, SciPy, pandas, etc.) to solve business challenges
- Experience with cloud technologies (AWS, Azure, Google Cloud, etc.)
- Built agents in Dataiku & Snowflake Cortex (structured data) - critical
- Workflow automation in Dataiku recipes & Python (writing programming logic)
- Experience with LangGraph, Langchain, CrewAI
- Multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)
- Reusable agent frameworks and reference architectures
- Security, access control, and governance (RBAC, personas, authorization models, guardrails)
- uditability and compliance considerations
- Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)
- Event-driven and batch processing architectures
- PI and workflow integration best practices
- gent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)
- utomated regression testing, monitoring, observability, and performance tracking
- Prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)
- Human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement)
- Dataiku application development and UX (Dataiku WebApps, production-ready front-end development, enterprise adoption best practices)
- Deployment, operationalization, and scalability (deployment automation, monitoring, governance)
- Cost and performance optimization (LLM selection, latency, token consumption, operational cost management, performance tuning)
- MCP experience in multi-agent systems for Agent-to-Agent communication (desired)
- dvanced data analysis and statistical methods (regression, hypothesis testing, ANOVA, statistical process control) (desired)
- Machine learning techniques (Clustering, Logistic Regression, CART, Random Forests, SVM, Neural Networks) (desired)
- Design/development of heavy equipment (automotive, aerospace, engine, transmission, construction, mining, industrial) (desired)
- Team player (required)
- Good communication skills (desired)
- Strong initiative
- Interpersonal skills
- bility to communicate effectively
- Planning and organization skills
- Teamwork
- Decision-making skills
- Strong concern for customers
- Strong focus on continual learning in the Analytics field
- Strong initiative to research and apply new methods and digital technologies
Vacancy posted 4 days ago
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