Pursuing a Master's degree in Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operations Research, Software Development, or a similar quantitative field
Available during the Summer of 2026 (Mid/Late May through early August) in Cincinnati, Ohio
Preferred: Proven leadership in applying and scaling analytic techniques to deliver measurable insights from data
Preferred: Strong written and verbal communication skills to influence others
Preferred: Proven ability to balance multiple priorities
Preferred: Comfort working with diverse business scenarios and strong problem-solving skills with a "can-do" attitude
Preferred: Strong passion and curiosity about the intersection of business and technology
Preferred experience with: Unix/Linux, Big Data Ecosystem (Hadoop, Spark, MapReduce, SQL, Hive), Scientific Computing (R, Python, C++, Java, Scala), High-Performance Parallel and Distributed Computing, Deep Learning frameworks (Keras, Tensorflow), Data Visualization, Data Management Systems, Business Intelligence tools (e.g., KNIME, Tableau)
Responsibilities
Use Big Data and advanced analytics to advise business leaders
Collaborate actively across functional partners to accomplish project objectives
Implement research and analytics, including data source identification, processing, and model/algorithm development
Turn insights into measurable recommendations that drive business value creation