Senior Data Scientist — Remote Healthcare AI

Bazeta; San Francisco (CA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Flexible paid time off

Job summary

Doximity, the leading clinical AI company, is hiring a Data Scientist to work in our San Francisco headquarters or remotely across the U.S. You will partner with data scientists, engineers, and product managers to derive insights that improve healthcare delivery.

The role emphasizes statistical analysis, SQL proficiency, Python tooling (Pandas/Numpy), and the ability to communicate results effectively to stakeholders.

Qualifications

• At least 2 years of professional experience as a data analyst or a data scientist.
• Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.
• Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
• Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders.
• Proficient in Python data analysis libraries such as Pandas and Numpy with basic OO concepts in Python.
• Experience with distributed data processing concepts (e.g., Spark, column stores).
• Curiosity, fast learning, and passion for data-driven decision making.

Responsibilities

• Leverage large datasets to identify and classify behavioral patterns of medical professionals.
• Create product and client-facing analytics.
• Collaborate with product managers, engineers, and analysts to drive data projects from ingestion to recommendations.

Skills

SQL

Data Visualization

Python

Pandas/Numpy

Data Analysis

Data storytelling

Distributed Processing

Tools

Spark

Job description

Doximity, the leading clinical AI company, is hiring a Data Scientist to work in our San Francisco headquarters or remotely across the U.S. You will partner with data scientists, engineers, and product managers to derive insights that improve healthcare delivery.

The role emphasizes statistical analysis, SQL proficiency, Python tooling (Pandas/Numpy), and the ability to communicate results effectively to stakeholders.