Data Scientist

Tellus Solutions • $110K — $130K *
Irving, TX 75061In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in AI, Data Science, or Computer Science (required)
  • 5-7 years of professional experience
  • 2+ years of Python experience (NumPy, SciPy, pandas)
  • Experience with cloud technologies (AWS, Azure, Google Cloud)
  • Master's degree or PhD in a relevant field is acceptable.

Responsibilities

  • Understand project objectives and use cases
  • Write and test code in Snowflake & Dataiku for AI Agents
  • Build and automate workflows using AI Agents
  • Implement security, access control, and governance measures
  • Conduct agent evaluation, testing, and performance tracking
  • Upskill team members in Dataiku Agentic AI technology
  • Participate in daily standup meetings and collaborate with team members

Benefits

  • Opportunity for professional development and upskilling
  • Work in a collaborative team environment
  • Exposure to cutting-edge AI technologies
  • Flexible project-based work depending on needs
  • Chance to implement best practices in AI and data science
Full 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)
  • 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)
Education:
  • 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
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)
  • 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)
Soft Skills:
  • 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
* Ladders Estimates

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