Assist in the development of opportunity assessments and risk mitigation for the core diabetes portfolio through application of data science techniques
Utilize large data sets and apply machine learning tools to solve specific business problems
Work on enhancing reporting framework to automate recurring deliverables to sr. leadership

Requirements

Must be a current student enrolled or recently graduated (graduation date no earlier than May 2026) at/from an accredited college or university pursuing at least a bachelor’s degree
A completed or in progress graduate degree in Data Science, Statistics or a related discipline preferred
Proficiency in SQL, Python, or R
Strong academic record with a preferred cumulative GPA of 3.0 or higher
Conscientious self-starter with good organizational skills, project management skills and attention to detail
Ability to balance multiple projects and priorities, must be able to multi-task
Strong interpersonal communication and ability to collaborate with teams; must effectively operate independently, across functional lines, and with internal customers
Demonstrated personal initiative, self-motivation, flexibility, adaptability and willingness to learn.
Proficient in Microsoft Office Tools including Word, Excel, PowerPoint, etc.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemachine learningSQLPythonRdata analysisreporting frameworkrisk mitigationopportunity assessmentsstatistical analysis

Soft Skills

organizational skillsproject managementattention to detailmulti-taskinginterpersonal communicationcollaborationself-motivationflexibilityadaptabilityinitiative