Tech TAP Program - Scientific AI Engineer

CAS • Columbus, OH

12d

About The Position

CAS is seeking a Scientific AI Engineer for its Technology Talent Acceleration Program (TechTAP), beginning in July 2027 in Columbus, Ohio. TechTAP is an early-career rotational leadership program for technologists interested in data, analytics, artificial intelligence, and innovation. Participants gain hands-on experience addressing business and scientific challenges while developing technical, leadership, and professional skills.

Working with mentors and leaders, the participant will apply data science techniques to uncover insights, evaluate emerging technologies, support product innovation, and develop solutions for CAS customers and stakeholders. The role contributes to high-impact projects, involves cross-disciplinary collaboration, and supports preparation for future leadership in analytics, AI, and technology.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Chemistry, Life Sciences, Materials Science, or a related scientific or quantitative field.
• 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.

Nice To Haves

• Exposure to or experience with machine learning and artificial intelligence.
• Exposure to or experience with generative AI and large language models (LLMs).
• Exposure to or experience with statistical analysis and predictive modeling.
• Exposure to or experience with data visualization tools such as Power BI or Tableau.
• Exposure to or experience with data engineering concepts and data pipelines.
• Exposure to or experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Exposure to or experience with Apache Spark, Databricks, or large-scale data processing technologies.
• Exposure to or experience with experimental design and model evaluation techniques.
• Exposure to or experience with product analytics, customer research, or innovation-focused projects.
• Exposure to or experience with scientific, chemical, biological, or materials science datasets.
• Previous technical internship, co-op, research, or project experience.

Responsibilities

• Collaborate with business, product, and technology teams to understand challenges and identify opportunities to use data and AI.
• Collect, prepare, analyze, and interpret structured and unstructured data from a variety of sources.
• Apply statistical, analytical, and machine learning techniques to generate insights and support decision-making.
• Design and evaluate experiments, prototypes, models, dashboards, and analytical solutions.
• Communicate findings, recommendations, and project outcomes to technical and non-technical audiences.
• Explore emerging technologies, industry trends, and AI applications to contribute to innovation efforts.
• Support development of data products, analytical capabilities, and business intelligence solutions.
• Partner with stakeholders to understand customer needs and translate insights into impactful products and services.
• Present project updates, findings, and recommendations to leaders and key stakeholders.
• Participate in leadership development experiences, mentoring opportunities, and cross-functional initiatives.
• Foster an inclusive, collaborative culture that values curiosity, innovation, and continuous learning.

Benefits

• Hands-on experience applying data science and AI to real business and scientific challenges.
• Exposure to multiple technology and analytics disciplines across CAS.
• Formal leadership and professional development opportunities.
• Mentorship from data science, product, and technology leaders.
• Opportunities to contribute to innovation, experimentation, and emerging AI initiatives.
• Visibility with senior leadership through project presentations and development experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level