About the company
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.
Responsibilities
- Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform.
- Play a key role in creating both product and client-facing analytics.
- Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.
- Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.
Requirements
- At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.
- Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.
- Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
- Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow.
- Advanced SQL proficiency.
- Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries.
- Hands-on experience with distributed data processing tools.
- Excellent data visualization and storytelling abilities.
Conditions
- US total compensation range: $170,000 - $248,000 inclusive of salary + equity.
- Benefits include medical, dental, vision, 401k matching, employee stock purchase plan, family planning support, parental leave, life insurance, disability, generous time off, holidays, paid company trips, wellness benefits.