Scientific AI Engineer - TechTAP Rotational Leader

Chemical Abstracts Service; Columbus (OH); On-site; USD 70,000 - 95,000; Full time

Job summary

Chemical Abstracts Service seeks a Scientific AI Engineer for its TechTAP program in Columbus, OH. The role focuses on applying data science and AI to solve meaningful scientific challenges, collaborating with product and technology teams to deliver impact.

Ideal candidates have a quantitative degree, up to 2 years of experience, and strong Python/SQL skills. The program emphasizes leadership, mentorship, and exposure to analytics initiatives across the CAS portfolio.

Qualifications

• Bachelor's degree in a quantitative field.

Responsibilities

• Collaborate with business, product, and tech teams to identify AI/data opportunities.
• Collect, prepare, analyze, and interpret structured/unstructured data from diverse sources.
• Apply statistical/ML techniques to generate insights and guide decisions.
• Design/assess experiments, prototypes, models, dashboards, and analytic solutions.
• Communicate findings to both technical and non-technical audiences.
• Explore emerging tech and AI applications to drive innovation.
• Support development of data products and BI capabilities.
• Partner with stakeholders to translate insights into products/services.
• Present updates to leaders and stakeholders.
• Participate in leadership development, mentoring, and cross-functional initiatives.
• Foster an inclusive culture focused on curiosity and learning.

Skills

Python

R

SQL

Data analysis

Agentic workflows

Communication skills

Team collaboration

Leadership experience

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Chemistry, Life Sciences, or related field

Tools

Power BI

Tableau

Azure/AWS/GCP

Databricks

Spark

Job description

Chemical Abstracts Service seeks a Scientific AI Engineer for its TechTAP program in Columbus, OH. The role focuses on applying data science and AI to solve meaningful scientific challenges, collaborating with product and technology teams to deliver impact.

Ideal candidates have a quantitative degree, up to 2 years of experience, and strong Python/SQL skills. The program emphasizes leadership, mentorship, and exposure to analytics initiatives across the CAS portfolio.