Applied AI Data Scientist II — Manufacturing

Kansas City National Security Campus; Kansas City (MO); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Medical Insurance

Health Savings Account (HSA)

Industry leading 401(k) match

Paid time off

Flexible work schedule

Tuition Reimbursement

Professional Certification & License

Job summary

Kansas City National Security Campus (KCNSC), operated by Honeywell, seeks a Data Scientist II – Applied AI to design, develop, deploy, and support AI solutions for manufacturing and business applications. You will ensure scalable models, reliable pipelines, and real-time performance, partnering with cross-functional teams to deliver actionable analytics.

The role emphasizes disciplined software practices, version control, testing, documentation, and visualization of model performance for

Qualifications

• BS in engineering or data science; ABET preference.
• 2+ years data science or related technical activities.
• Ability to travel and work remote, hybrid, or on-site as directed.

Responsibilities

• Lead and support complex data science and analytics projects for manufacturing and business applications.
• Develop AI/ML models with version control, testing, and documentation.
• Build production-grade pipelines for training, validation, deployment, and monitoring with CI/CD.
• Optimize models for latency, throughput, and resource use in real-time needs.
• Collaborate with stakeholders to translate business needs into AI specs.
• Support visualization and data accessibility for end-users.
• Evaluate tech advances to improve productivity and quality.

Skills

Data science

Machine learning

Python

SQL

Cloud (Azure AWS)

NLP

LLMs

Visualization

API/Git

CI/CD

Education

BS in Engineering or Data Science

ABET-accredited preferred

2+ years data science experience

Tools

Spark

Kafka

Git

Docker

Azure/AWS

Job description

Kansas City National Security Campus (KCNSC), operated by Honeywell, seeks a Data Scientist II – Applied AI to design, develop, deploy, and support AI solutions for manufacturing and business applications. You will ensure scalable models, reliable pipelines, and real-time performance, partnering with cross-functional teams to deliver actionable analytics.

The role emphasizes disciplined software practices, version control, testing, documentation, and visualization of model performance for