Data Engineering & Analytics Intern
Role summary
Doximity is seeking a Data Engineering & Analytics Intern to contribute to the measurement, analysis, and evolution of AI-powered products. This role involves collaborating with data teams to design, implement, and evaluate LLM-based approaches using production datasets. Interns will work with real data, support analysis and pipelines, learn best practices for data code, and gain exposure to modern data tooling and ML/AI workflows. The position offers end-to-end project participation with mentorship, ideal for students pursuing degrees in Data Science, Computer Science, or related fields with coursework in ML/AI and working knowledge of SQL and Python for data analysis.
### Who you are
- 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
- Even if you don't check off all the boxes below we encourage you to apply
### What the job involves
- 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
### The application process
- All applications should be submitted by April 30th, 2026
- Applicants will be reviewed and interviewed on a rolling basis
- Start date is flexible pending candidate availability, but no later than June 1st, 2026
### Benefits
- Competitive health insurance
- Equity grants for all employees
- Lunch & Learns, and a conference/training budget focused on topics relevant to your line of work
- Events - a few times a year, we get the entire team together to celebrate our recent victories and plan our next milestones
- The chance to recognize your colleagues when they step up their game (Doximity will sponsor a small bonus)
- 401k plan with traditional (pre-tax) and roth (after-tax) options (we'll match contributions dollar per dollar, up to $3,000)
- Adoption & fertility benefits for eligible employees - including financial reimbursement, paid parental leave, and bonding leave
- Remote working options
- Home office stipend