Staff Data Scientist, AI/ML

About Us

• We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects
• We have worked as a distributed team for a long time; we're currently about 65% distributed

Here's How You Will Make an Impact

• 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.

About you

• 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 — 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 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.
• Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.

Compensation

The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity).