Data Scientist

Monmouth University; Itasca (IL); On-site; USD 65,000 - 111,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) match

~4 weeks PTO in first full year

Career growth: promote-from-within

Job summary

KEYENCE U.S. Headquarters in Itasca, IL is seeking a Data Scientist to lead analytics, automation, and AI-driven tool development end-to-end. You will translate vague business requests into defined problems and build practical data products and ML solutions.

The role requires a Bachelor’s in a quantitative field and 1–2 years of production experience, with strong Python/SQL skills and API/data source integration. Competitive base salary with bonus and comprehensive benefits.

Qualifications

• Bachelor’s degree in a quantitative field.
• 1–2 years of experience building and deploying data, automation, or AI solutions in a production setting.
• Strong Python and SQL skills with a track record of shipping data or AI solutions beyond prototypes.
• Experience automating business or technical processes and integrating with APIs and data sources.
• Software development fundamentals: modular code, version control, testing, and documentation.
• Solid data analysis and visualization skills with clear communication to technical and nontechnical audiences.
• Ability to operate independently in ambiguous environments and balance speed with reliability.
• Pragmatic problem solving: knows when a simple rules-based automation beats an ML model or LLM.
• LLM and AI agent development experience, including prompt design, tool calling, RAG, embeddings, and agent evaluation.
• Workflow orchestration (Airflow, Prefect, Power Automate), Docker, CI/CD, and cloud deployment.
• Internal web tools (FastAPI, Streamlit) and experience with process improvement or operational excellence.

Responsibilities

• Partner with internal stakeholders to translate vague requests into well-defined problems and high value solutions.
• Design, build, and deploy automations, AI enabled tools, internal apps, and analytical solutions.
• Develop AI agents and LLM powered workflows with appropriate guardrails, evaluation, and observability.
• Perform exploratory and statistical analysis; design experiments and communicate findings clearly.
• Build reliable data pipelines and reusable tools with solid engineering practices (Git, testing, documentation, CI/CD).
• Own solutions from idea through deployment, adoption, and ongoing support.

Skills

Python

SQL

Data analysis

Communication

Automation

Problem solving

ML basics

Education

Bachelor's degree in a quantitative field

Tools

Airflow

Prefect

Power Automate

Docker

CI/CD

Cloud deployment

FastAPI

Streamlit

Job description

Location: Keyence U.S. Headquarters – Itasca, IL

Total Compensation (Base + Bonus): $111,122

What You’ll Do

As a Data Scientist, you’ll play a key role in mandating spanning analysis, AI agent creation, automation, tool building, and machine learning. This position is responsible for taking an ambiguous business problem, determining whether the right solution is analysis, automation, an AI agent, a data product, or a machine learning model, and then building and deploying a practical solution end to end.

• Partner with internal stakeholders to translate vague requests into well-defined problems and high value solutions.
• Design, build, and deploy automations, AI enabled tools, internal apps, and analytical solutions.
• Develop AI agents and LLM powered workflows with appropriate guardrails, evaluation, and observability.
• Perform exploratory and statistical analysis; design experiments and communicate findings clearly.
• Build reliable data pipelines and reusable tools with solid engineering practices (Git, testing, documentation, CI/CD).
• Own solutions from idea through deployment, adoption, and ongoing support.

What We’re Looking For

• Bachelor’s degree in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or similar).
• 1-2 years of experience building and deploying data, automation, or AI solutions in a production setting.
• Strong Python and SQL skills with a track record of shipping practical data or AI solutions beyond prototypes.
• Experience automating business or technical processes and integrating with APIs and multiple data sources.
• Software development fundamentals: modular code, version control, testing, and documentation.
• Solid data analysis and visualization skills, with clear communication to both technical and nontechnical audiences.
• Ability to operate independently in ambiguous environments and balance speed with reliability.
• Pragmatic problem solving: knows when a simple rules-based automation beats an ML model or LLM.
• LLM and AI agent development experience, including prompt design, tool calling, RAG, embeddings, and agent evaluation.
• Workflow orchestration (Airflow, Prefect, Power Automate), Docker, CI/CD, and cloud deployment.
• Internal web tools (FastAPI, Streamlit) and experience with process improvement or operational excellence.

What We Offer

• Bonus Target: $45,962 annually (performance-based), paid quarterly
• Benefits: Medical, dental, vision, 401(k) match, ~4 weeks PTO in first full year
• Career Growth: Promote-from-within culture with base and bonus increases

Why KEYENCE?

• Recognized by Forbes as one of the World’s Most Innovative Companies
• A global leader in factory automation and quality assurance solutions
• Operating profit of over 40% for 25 consecutive years
• A culture that invests in your success from day one

KEYENCE is an at-will, Equal Opportunity Employer