Tech TAP Program - Scientific AI Engineer

Description Scientific AI Engineer Technology Talent Acceleration Program (TechTAP) | July 2027 Cohort Columbus, Ohio CAS uses intuitive technology, unparalleled scientific content, and deep domain expertise to help organizations create innovations that improve lives around the world. As the scientific information solutions division of the American Chemical Society, CAS curates the world's largest collection of scientific knowledge and has empowered innovators for more than 118 years. Our global team is diverse, collaborative, and passionate about making scientific insight accessible to drive breakthrough discoveries. Position Summary CAS is seeking a to join our beginning in July 2027. TechTAP is a premier early-career rotational leadership program designed for ambitious technologists who are passionate about data, analytics, artificial intelligence, and innovation. Participants gain hands-on experience solving meaningful business and scientific challenges while accelerating their technical, leadership, and professional development. Working alongside experienced mentors and leaders, participants will apply data science techniques to uncover insights, evaluate emerging technologies, support product innovation, and develop solutions that create value for CAS customers and stakeholders. Participants will contribute to high-impact projects, collaborate across disciplines, and build the skills needed to become future leaders in analytics, AI, and technology. Qualifications Required - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Chemistry, Life Sciences, Materials Science or related scientific or quantitative fields. - 24 months or fewer of professional experience in data science, analytics, software engineering, artificial intelligence, or a related field. - Minimum cumulative GPA of 3.0 on a 4.0 scale (or equivalent). - Strong analytical, critical thinking, and problem-solving skills. - Experience using Python, R, SQL, or similar tools for data analysis. - Experience using and/or designing agentic workflows and tools. - Ability to analyze data, identify trends, and develop actionable insights. - Strong written and verbal communication skills, including the ability to explain technical concepts to diverse audiences. - Ability to work effectively in collaborative team environments and independently when needed. - Demonstrated curiosity, adaptability, and willingness to learn new technologies. - Demonstrated leadership experience through academic, professional, volunteer, or extracurricular activities. Preferred Exposure to or experience with one or more of the following: - Machine Learning and Artificial Intelligence - Generative AI and Large Language Models (LLMs) - Statistical analysis and predictive modeling - Data visualization tools such as Power BI or Tableau - Data engineering concepts and data pipelines - Cloud platforms such as Azure, AWS, or Google Cloud Platform - Apache Spark, Databricks, or large-scale data processing technologies - Experimental design and model evaluation techniques - Product analytics, customer research, or innovation-focused projects - Scientific, chemical, biological, or materials science datasets - Previous technical internship, co-op, research, or project experience Key Responsibilities Collaborate with business, product, and technology teams to understand challenges and identify opportunities to leverage data and AI. Collect, prepare, anal