What are the responsibilities and job description for the Data Science Intern position at CAS?
CAS uses intuitive technology, unparalleled scientific content, and unmatched human expertise to help companies 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 over 117 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 scientific insights accessible to innovators worldwide. The program will run May 19th-August 8th.
CAS is currently seeking a Data Scientist intern for Summer 2025. This position will be located in our headquarters in Columbus, Ohio.
Data scientists are passionate about data and applying analytical methods while simultaneously understanding the business context in order to arrive at a solution. Data scientists add business value by leveraging vast quantities of data and building accurate mathematical models. Data scientists are skilled in putting well-defined parameters around potentially ambiguous problems, evaluating success based on business-important criteria, and applying modern artificial intelligence and machine learning techniques to large datasets to solve complex business problems.
Job Accountabilities
CAS is currently seeking a Data Scientist intern for Summer 2025. This position will be located in our headquarters in Columbus, Ohio.
Data scientists are passionate about data and applying analytical methods while simultaneously understanding the business context in order to arrive at a solution. Data scientists add business value by leveraging vast quantities of data and building accurate mathematical models. Data scientists are skilled in putting well-defined parameters around potentially ambiguous problems, evaluating success based on business-important criteria, and applying modern artificial intelligence and machine learning techniques to large datasets to solve complex business problems.
Job Accountabilities
- Develop, plan, and execute analytical projects as an individual contributor and in teams
- Synthesize analytical findings for consumption by business partners within CAS
- Participate in multiple, assigned research projects
- Organize data from many different types of sources and at significantly varying scales for subsequent analysis
- Critically evaluate data for quality measures such as completeness, accuracy, and applicability, applying understanding of relevant research area nomenclature
- Solve unusual problems using a combination of appropriate statistics, machine learning, and computational methods
- Create technical reports and presentations, describing results with visualization in a manner that the client can understand
- Present research results to clients and participate in scientific conferences, peer review panels, and increase company visibility through publications
- Perform other duties as assigned
- Pursuing a degree in Computer Science, Data Analytics, Mathematics, Physics, Statistics, or Industrial Engineering (Senior status as of Fall 2025).
- Experience with Python or R, and SQL.
- Demonstrated analytical, multi-tasking, problem solving, and planning skills.
- Ability to interpret reports, analyze trends and provide insights.
- Strong written and verbal communication skills.
- Demonstrated ability to communicate complicated statistical analytical concepts to business stakeholders in a simplified, comprehensible manner.
- Strong teaming and leadership skills.
- Ability to work effectively in an open, agile environment as well as independently.
