Data Engineering & Analytics Intern

Doximity•San Francisco, CA

18h•Hybrid

About The Position

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! This role is Hybrid, which requires being in our San Francisco office 3 days a week- Monday, Tuesday and Thursday. About You Currently pursuing a degree in Data Science, Computer Science, Data Engineering, or a related field. Completed coursework in ML/AI concepts and are eager to apply what you’ve learned to help build, evaluate, and improve AI-driven products. Working knowledge of SQL, including writing queries that join multiple tables and perform aggregations. Experience using Python for end-to-end data analysis, applying statistical thinking, performing aggregations with tools like Pandas and NumPy, and translating results into clear visualizations and narratives. Basic understanding of programming fundamentals, including functions, data structures, and introductory object-oriented concepts in Python. Interest in learning how to build maintainable and reliable data workflows, with guidance from senior team members. Curiosity about how data products are built end-to-end, from problem definition to delivering analysis or code. Demonstrated ability to learn quickly, ask thoughtful questions, and incorporate feedback.

Requirements

Currently pursuing a degree in Data Science, Computer Science, Data Engineering, or a related field.
Completed coursework in ML/AI concepts and are eager to apply what you’ve learned to help build, evaluate, and improve AI-driven products.
Working knowledge of SQL, including writing queries that join multiple tables and perform aggregations.
Experience using Python for end-to-end data analysis, applying statistical thinking, performing aggregations with tools like Pandas and NumPy, and translating results into clear visualizations and narratives.
Basic understanding of programming fundamentals, including functions, data structures, and introductory object-oriented concepts in Python.
Interest in learning how to build maintainable and reliable data workflows, with guidance from senior team members.
Curiosity about how data products are built end-to-end, from problem definition to delivering analysis or code.
Demonstrated ability to learn quickly, ask thoughtful questions, and incorporate feedback.

Responsibilities

Contribute to the measurement, analysis, and evolution of AI-powered products at Doximity.
Collaborate with data analysts, data engineers, and developers to help design, implement, and evaluate LLM-based approaches that inform future product iterations.
Work with real production datasets to support data analysis, pipelines, and dashboards used across the business.
Learn and apply best practices for writing clean, maintainable, and well-tested data code.
Gain hands-on exposure to modern data tooling, distributed data processing, and ML/AI workflows.
Participate in projects end-to-end — from problem definition through delivery — with mentorship and support from the team.