Data Engineering & Analytics Intern at Doximity in San Francisco, CA

Summary: Doximity is transforming the healthcare industry, aiming to help every physician be more productive and provide better care for their patients. The Data Engineering & Analytics Intern will contribute to the development of AI-powered products, collaborating with various teams to design and implement data-driven solutions. 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 Required Qualifications: - 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 Required Skills: SQL, Python Important Skills: Machine Learning, Data Analysis Nice-to-Have Skills: Statistical Thinking, Data Visualization, Curiosity, Learning Agility Benefits: Catered lunches Monday, Tuesday, and Thursday, Hands-on, ongoing mentorship throughout the internship, Free snacks and beverages in the office, Rooftop game room with deck and beautiful views of the SF skyline