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Kani Solutions Inc

Data Scientist

irving, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Kani Solutions Inc lists this Data Scientist opportunity in irving, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

W2 candidates only – This position is open exclusively to candidates who can work on a W2 basis.

No third-party applications – C2C/third-party submissions will not be accepted.

Job Title: Data Scientist

Location: Irving, TX (Onsite)

Education:

Bachelor's degree in AI, Data Science, Computer Science or any other relevant field (required)

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

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

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)

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Worksite address

irving, TX, 75084, US

Who can apply

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