Senior AI/ML Data Scientist, Healthcare Analytics

Doximity; United States; Remote; USD 170,000 - 248,000; Full time

Benefits offered by this job

Medical, dental, vision

401k with matching

Employee stock purchase plan

Family planning support

Childcare FSA and parental leave

Life, AD&D, and Disability

Generous time off

Wellness benefits

Job summary

Doximity is seeking a data scientist to leverage its extensive datasets and help optimize AI-powered products for medical professionals. You will collaborate with product managers and engineers to design, train, and evaluate large-scale models using PyTorch or TensorFlow.

You’ll analyze data, build client-facing analytics, and influence data strategy at the organizational level while advancing state-of-the-art ML techniques and robust data storytelling for stakeholders.

Qualifications

• 5+ years of experience as a Data Scientist or related roles with 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 LLM fine-tuning methods such as SFT, DPO, and RFT.
• Proven ability to design, train, and evaluate large-scale models using PyTorch or TensorFlow.
• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including 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.

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.

Skills

Python

SQL

Machine learning

Deep learning

PyTorch

TensorFlow

Distributed data processing

Data visualization

Storytelling

Tools

Unix CLI

vim

git

Github

Job description

Doximity is seeking a data scientist to leverage its extensive datasets and help optimize AI-powered products for medical professionals. You will collaborate with product managers and engineers to design, train, and evaluate large-scale models using PyTorch or TensorFlow.

You’ll analyze data, build client-facing analytics, and influence data strategy at the organizational level while advancing state-of-the-art ML techniques and robust data storytelling for stakeholders.