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Job description
Visa sponsorship is not available for this role.
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
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). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.
More on /Benefits/Perks
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!
EEOC Statement
Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.