Data Scientist
KEYENCE • Itasca, IL15d • Onsite
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Data Scientist
KEYENCE•Itasca, IL
•Onsite
About The Position
KEYENCE is hiring a Data Scientist at its U.S. Headquarters in Itasca, Illinois. The role spans business analysis, AI agent creation, automation, tool building, and machine learning. The Data Scientist takes ambiguous business problems and determines whether the appropriate solution is analysis, automation, an AI agent, a data product, or a machine learning model, then builds and deploys a practical end-to-end solution. The position works with internal stakeholders to define problems and deliver valuable solutions, develops tools and workflows, and supports solutions through deployment and adoption. The role calls for a quantitative bachelor's degree and 1–2 years of experience building and deploying data, automation, or AI solutions in production. Compensation is listed as $111,122 total (base plus bonus), comprising a $65,160 base salary and a performance-based annual bonus target of $45,962, paid quarterly. Benefits include medical, dental, and vision coverage, a 401(k) match, and approximately four weeks of PTO in the first full year. KEYENCE describes a promote-from-within culture with base and bonus increases.
Requirements
- Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or a similar 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 practical data or AI solutions beyond prototypes.
- Experience automating business or technical processes and integrating with APIs and multiple data sources.
- Software development fundamentals, including modular code, version control, testing, and documentation.
- Solid data analysis and visualization skills, with the ability to communicate clearly to technical and nontechnical audiences.
- Ability to work independently in ambiguous environments and balance speed with reliability.
- Pragmatic problem-solving skills, including knowing when rules-based automation is preferable to an ML model or LLM.
- Experience developing LLMs and AI agents, including prompt design, tool calling, RAG, embeddings, and agent evaluation.
Nice To Haves
- Experience with workflow orchestration tools such as Airflow, Prefect, or Power Automate.
- Experience with Docker, CI/CD, and cloud deployment.
- Experience building internal web tools with FastAPI or Streamlit.
- 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 using sound engineering practices, including Git, testing, documentation, and CI/CD.
- Own solutions from idea through deployment, adoption, and ongoing support.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) match
- Approximately four weeks of PTO in the first full year
- Promote-from-within career growth, with base and bonus increases
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
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