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Data Scientist

Tellus Solutions
  • Irving, TX
  • Instant Apply
6 days ago

Job Description

Job Description:
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)
  • Apply 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
  • Apply 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
  • Apply 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
  • Apply 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
  • Apply 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)
Education:
  • Bachelor's degree in AI, Data Science, or Computer Science (required)
  • Internships accepted as job experience
  • Acceptable 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
Experience:
  • 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.)
Top 3 Critical Skills:
  • Built agents in Dataiku & Snowflake Cortex (structured data) critical
  • Workflow automation in Dataiku recipes & Python (writing programming logic)
  • Experience with LangGraph, Langchain, CrewAI
Technical Requirements:
  • 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)
  • Auditability and compliance considerations
  • Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)
  • Event-driven and batch processing architectures
  • API and workflow integration best practices
  • Agent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)
  • Automated 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)
  • Advanced 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)
Soft Skills:
  • Team player (required)
  • Good communication skills (desired)
  • Strong initiative
  • Interpersonal skills
  • Ability 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

Numbers & Facts

LocationIrving, TX

Skills

  • Access Controlunmatched
  • Aerospace Engineeringunmatched
  • Aerospace and Defenseunmatched
  • Agent Communicationunmatched
  • Agricultureunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Artificial Intelligence (AI) Programming Languagesunmatched
  • Automationunmatched
  • Best Practicesunmatched
  • Business Administrationunmatched
  • Business Analysisunmatched
  • Business Intelligenceunmatched
  • Business Performance Managementunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Constructionunmatched
  • Continuous Improvementunmatched
  • Cost Controlunmatched
  • Data Analysisunmatched
  • Data Collectionunmatched
  • Data Scienceunmatched
  • Design Patterns Programming Methodologiesunmatched
  • Electricityunmatched
  • Enterprise Data Integrationunmatched
  • Heavy Equipment/Vehiclesunmatched
  • Informaticsunmatched
  • Internet Applicationunmatched
  • Interpersonal Skillsunmatched
  • MCP - Microsoft Certified Professionalunmatched
  • Machine Learningunmatched
  • Maintain Complianceunmatched
  • Management of Information Systems/Technology (MIS)unmatched
  • Mathematicsunmatched
  • Microsoft Access Databaseunmatched
  • Microsoft Product Familyunmatched
  • Microsoft SharePointunmatched
  • Microsoft Windows Azureunmatched
  • Neural Networksunmatched
  • Organizational Skillsunmatched
  • Performance Analysisunmatched
  • Performance Tuning/Optimizationunmatched
  • Predictive Modelingunmatched
  • Python Programming/Scripting Languageunmatched
  • Regression Testingunmatched
  • Snowflake Schemaunmatched
  • Software Developmentunmatched
  • Standup Meetingsunmatched
  • Statistical Modelingunmatched
  • Statistical Process Controlunmatched
  • Statisticsunmatched
  • Structured Dataunmatched
  • Team Playerunmatched
  • Test Automationunmatched
  • Testingunmatched
  • Training/Teachingunmatched
  • Use Casesunmatched
  • User Interface/Experience (UI/UX)unmatched
  • Variance Analysisunmatched

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