BN31P2-Data Scientist

American Chemical Society • Columbus, OH • 8h ago

Description

Chemical Abstracts Service (CAS)

BN31P2- Data ScientistCAS Columbus, OH

CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors create groundbreaking innovations that benefit the world. As the Scientific Information Solutions Division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 111 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make actionable scientific insights accessible to innovators worldwide.

CAS is currently seeking a Data Scientist. This position will be located in our headquarters in Columbus, Ohio.

Job Summary:

This is an individual contributor role on the Data Analytics and Insights (DAI) team, which carries a dual mandate: build production-grade agentic AI solutions that power CAS products, and lead the company in product innovation through emerging AI capabilities. You will develop and deliver agentic AI features across CAS's product suite, including SciFinder, BioFinder, and our cross-domain omni-agent platform, working alongside senior engineers, product managers, and scientific domain experts. This role emphasizes hands-on software development, agentic system design, and engineering quality. Success in this role requires strong programming fundamentals, a genuine interest in agentic AI, and a collaborative mindset oriented toward building reliable, production-grade systems. Because CAS's AI systems serve scientists and must be grounded in deep scientific content, candidates who combine strong software engineering skills with formal training in a scientific discipline relevant to CAS's customers (chemistry, life sciences, materials science, or related fields) bring a valuable perspective and will find real opportunities to apply both dimensions of their expertise.

Job Accountabilities:

Develop and deploy agent-based workflows, retrieval-augmented generation (RAG) pipelines, and LLM-powered features within CAS products using Python, LangGraph/LangChain, and related tools.

Deliver clean, tested, well-documented software following team engineering standards, including unit, integration, and end-to-end tests, containerized development, and CI/CD practices.

Work with product managers, scientific domain experts, and engineering teams to translate business and research requirements into working technical solutions.

Contribute to evaluation frameworks for GenAI systems, focusing on accuracy, reliability, and continuous improvement of agentic features.

Build and operate solutions on cloud infrastructure (AWS, Azure, GCP, or similar), supporting the production deployment and ongoing operations of AI systems.

Use agentic software development tools such as Claude Code as a core part of the daily workflow to accelerate delivery and maintain quality.

Contribute to DAI's product innovation mandate by prototyping and evaluating emerging AI capabilities for potential integration into CAS offerings.

Stay current with advances in generative AI and agentic architectures, and share knowledge with the team through demos, documentation, and internal learning sessions.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative or scientific discipline, or equivalent practical experience.

2+ years of professional experience in software engineering, applied machine learning, or data science, with demonstrated delivery of working systems.

Hands-on experience building applications with large language models, including agentic workflows, RAG, prompt engineering, or simi

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