Data Science Intern - Pittsburgh, PA

OVERVIEW The Data Science Intern will work with the centralized business insightz team on a project throughout the internship. This position will provide the successful candidate with the opportunity to apply learned data science skills combined with business strategy to answer real world business problem(s) here at Sheetz. RESPONSIBILITIES (other duties may be assigned) Participate in defining a business case through problem framing and scoping activities. Work with the RAD team to identify, collect, clean, and analyze data points relevant to the problem. Apply learned statistical analysis techniques to the data to develop insights. Prepare a final report of findings and present to business unit leaders. Assist with ad hoc data analytics requests which will provide insight into other areas of the business QUALIFICATIONS (Equivalent combinations of education, licenses, certifications and / or experience may be considered) Education Junior or Senior pursuing a degree in data science, analytics, mathematics, statistics, economics or related field of study Experience Knowledge of statistical modeling techniques and applications Proficient programming skills in R or Python (SQL preferred but not required) Excellent analytical and problem solving skills Willingness to work as a member of team, but comfortable working independently Strong professionalism and basic business communication skills(Equivalent combinations of education, licenses, certifications and / or experience may be considered) Education Junior or Senior pursuing a degree in data science, analytics, mathematics, statistics, economics or related field of study Experience Knowledge of statistical modeling techniques and applications Proficient programming skills in R or Python (SQL preferred but not required) Excellent analytical and problem solving skills Willingness to work as a member of team, but comfortable working independently Strong professionalism and basic business communication skillsParticipate in defining a business case through problem framing and scoping activities. Work with the RAD team to identify, collect, clean, and analyze data points relevant to the problem. Apply learned statistical analysis techniques to the data to develop insights. Prepare a final report of findings and present to business unit leaders. Assist with ad hoc data analytics requests which will provide insight into other areas of the business