Doximity is transforming the healthcare industry by helping physicians be more productive and provide better care for their patients. The company aims to optimize and tune AI products for medical professionals, create client-facing analytics, and inform data team strategy.
Requirements
- 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 — skilled at writing and optimizing complex queries across multiple tables and data relationships.
- 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 and concepts (e.g., Spark, Dask) for scalable analysis and model training.
- Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders.
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.
Other
- This role is expected to work from our San Francisco office 3 days a week (M, T, Th).
- At least 5 years of professional experience as a Data Scientist or Data Analyst working with complex, high-volume datasets.
- Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.
- This role can be filled in our San Francisco headquarters or remotely within the US.
- Visa sponsorship is not available for this role.
