Doximity - Staff Data Scientist, AI/ML

• 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. • At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets. • 5 years • 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.