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Doximity · 2 weeks ago

Staff Data Analyst, AI Team

San Francisco, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$170K/yr - $248K/yr

5+ years exp

Doximity is transforming the healthcare industry, aiming to enhance productivity for physicians. The Staff Data Analyst will leverage extensive datasets to optimize AI products, create analytics, and collaborate with product leaders to inform data team strategy.

Health CareInternetMedicalMobile AppsSoftware

Comp. & Benefits

No H1B

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

Qualification

Machine Learning TechniquesStatistical ConceptsData VisualizationSQL ProficiencyPython ProgrammingDistributed Data ProcessingDeep Learning FrameworksCuriosityFast LearnerCollaboration

Required

At least 5 years of professional experience as a Data Scientist or Data Analyst 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 (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

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