Doximity Commercial Data Scientist at Doximity working within cross-functional teams to deliver impactful insights using machine learning and AI. Collaborate with Product, Data, and Sales teams to create client-facing analyses and data products.
Responsibilities
Leverage Doximity's datasets to identify and classify behavioral patterns of medical professionals
Create product and client-facing analytics
Inform data team strategy by working with product leaders and managers
Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations
Qualification
Proven ability to designAdvanced Python skillsCurious
Required
At least 4 years of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets.
Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment
Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.
Deep understanding of modern machine learning techniques
Proven ability to design, train, and evaluate large-scale production 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 internal and client stakeholders.
Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.
Fun Facts About the Client Intelligence team
We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections.
