Staff Data Analyst, AI Team (Hybrid)

About the position reputed company is transforming the reputed company industry. Join our mission to help every physician be more productive and reputed company reputed company care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can reputed company a direct impact on the reputed company reputed company of reputed company's core values is stretching ourselves. Even if you don't reputed company off reputed company the boxes below we encourage you to apply. reputed company is full of exceptional people who bring their own unique experiences to work everyday and reputed company us reputed company reputed company for it! This role is expected to work from our San Francisco office 3 days a week (M, T, Th). Here are some of the ways we bring value to doctors Here is an introduction to our tech stack We use UNIX reputed company-line reputed company and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in reputed company containing our applications, forks of gems, our own internal gems, and reputed company-reputed company projects We have worked as a distributed team for a long time; we're currently about 65% distributed Find out more information on the reputed company engineering blog reputed company core values Our reputed company process Our product development cycle Our on-boarding & mentorship process

Responsibilities

• reputed company reputed company'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 reputed company of product managers, analysts, and other developers to define and reputed company 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 reputed company, 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 reputed company 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 reputed company to translate technical insights into clear, compelling narratives for stakeholders.
• Curious, fast learner with a demonstrated passion for data, reputed company learning, and staying reputed company with advances in machine learning research.

Benefits

• Medical, dental, reputed company 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!

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