Data Science Intern: ML, Analytics & Impact

PayPal, Inc.; San Jose (CA); Híbrido; USD 44.000 - 76.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

PayPal is seeking a Data Science Intern for Summer 2027 in San Jose, CA. You will work with experienced data scientists and engineers to analyze data, build predictive models, and deliver end-to-end ML solutions that influence product decisions across the globe.

You’ll contribute to defining metrics, running experiments, and communicating findings to both technical and non-technical stakeholders in a fast-paced, collaborative environment.

Formación

• Experience analyzing complex datasets and translating findings into actionable recommendations.
• Proficiency in SQL and experience with data visualization tools such as Tableau or Looker; Python or R experience is a plus.
• Strong knowledge of statistics, including hypothesis testing and regression, and familiarity with experimentation.
• Strong communication, problem-solving, and organizational skills; able to work through ambiguity and collaborate across teams.

Responsabilidades

• Analyze large, complex datasets to identify trends, explain business performance, and develop actionable recommendations.
• Partner with product, engineering, and data teams to define success measures, improve data quality, and support reliable analytics.
• Design and evaluate analyses and experiments to inform product decisions and business priorities.
• Communicate findings clearly to technical and non-technical stakeholders, including senior leaders.
• Manage multiple projects and deliver high-quality work in a fast-paced environment.

Conocimientos

SQL

Data visualization

Python

Statistics

Communication

Educación

Bachelor's or Master's in CS/SE

Herramientas

Tableau

Looker

Descripción del empleo

PayPal is seeking a Data Science Intern for Summer 2027 in San Jose, CA. You will work with experienced data scientists and engineers to analyze data, build predictive models, and deliver end-to-end ML solutions that influence product decisions across the globe.

You’ll contribute to defining metrics, running experiments, and communicating findings to both technical and non-technical stakeholders in a fast-paced, collaborative environment.