
Data Scientist
Required skills
- Python
- SQL
- AI agents
- automation
- machine learning
- data product
- data pipelines
- engineering practices
- Git
- CI/CD
Nice to have
- LLM
- prompt design
- tool calling
- RAG
- embeddings
- agent evaluation
Role summary
KEYENCE is seeking a Data Scientist in Itasca, IL, to build and deploy AI-driven solutions. Responsibilities include translating business problems into practical analyses, automations, AI agents, or ML models. The role involves designing and building tools, developing LLM-powered workflows with guardrails, performing statistical analysis and experiments, and creating reliable data pipelines with strong engineering practices. The ideal candidate has 1-2 years of experience in production environments, strong Python and SQL skills, experience with APIs and data sources, and familiarity with software development fundamentals. Preferred qualifications include LLM development, workflow orchestration tools, Docker, and cloud deployment.
Join KEYENCE as a Data Scientist
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
- Base Salary: $65,160
- 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.
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