Staff Data Analyst

November 21

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $170k - $248k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

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Doximity

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Healthcare Insurance • Telecommunications • SaaS

Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.

501 - 1000 employees

⚕️ Healthcare Insurance

📡 Telecommunications

☁️ SaaS

💰 Secondary Market on 2019-08

📋 Description

• 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 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.

🏖️ Benefits

• Medical, dental, vision offerings for you and your family • 401k with matching program • Employee stock purchase plan • Family planning support, Childcare FSA, and parental leave • Life, AD&D, and Disability • Generous time off, holidays and paid company trips • Wellness benefits…plus many more!