Data Scientist Intern, Zipline

• We are seeking a Data Science Intern with an interest in applying technical and engineering skills to real-world problems
• The ideal candidate is eager to learn how to use data science and programming to support hardware systems integration and engineering projects
• Familiarity with Python, SQL, and basic software development is helpful, but a strong willingness to learn is most important
• Educational Background: Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field
• Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.)
• Basic understanding of SQL for querying and working with data
• Exposure to software development practices (version control with Git, debugging, documentation) is a plus
• Coursework or experience with statistics, linear algebra, or numerical methods
• Interest in applying engineering and data analysis to solve real-world problems
• Curiosity and analytical thinking to approach technical challenges
• Ability to learn how to frame engineering problems as data science problems
• Willingness to communicate findings clearly with technical and non-technical teammates
• Strong written and verbal skills for documentation and presentations
• Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Some experience from coursework, projects, or self-study in building or experimenting with models

Desirable

• Joining Zipline’s Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people
• We believe that internships are more than just opportunities to learn by watching or doing low level tasks
• We expect our interns to take on meaningful work that actively contributes to moving Zipline’s mission forward, while learning real-world skills that will serve them in their careers for the long term
• At Zipline, we operate the world’s largest autonomous delivery network, and our Software Integration team plays a critical role in making sure the software that flies our aircraft works reliably and safely in the real world
• As a Software Integration Intern, you’ll get hands-on experience at the intersection of robotics, embedded software, and systems engineering
• Our team doesn’t just write code—we bring together planning, perception, and controls software, and make sure all of it works smoothly on the aircraft, in simulation, and in real operations
• You’ll help test and integrate features that affect how our autonomous aircraft fly, adapt routes, and respond to unexpected situations
• That means working with simulation tools, flight telemetry, and testing infrastructure to ensure new software behaves the way it should before it ever goes into the sky
• This internship is a chance to learn how large, safety-critical autonomy systems are built and scaled, while contributing to technology that directly impacts communities around the world
• Data Analysis & Modeling: Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts
• Data Visualization: Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings
• Dashboard Development: Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance
• Data Engineering: Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis. Write simple SQL queries and learn how to work with databases
• Machine Learning: Gain exposure to machine learning by assisting with model development and validation for autonomy applications
• Scientific Programming: Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations
• This internship provides the opportunity to work with large datasets, gain exposure to modern data tools, and apply engineering principles to create actionable insights
• Our internships are full-time positions, in-person at our South San Francisco or Dallas office

• We will host our Spring 2026 interns from January to April