Data Scientist at Doximity – $150K + Equity

Data Scientist at Doximity – $150K + Equity in Wilmington

Career Stage & Market Fit: With a minimum of 2 years of experience required, this is an early-to-mid career data science role. The $110K–$150K total compensation range is competitive for this level — market benchmarks for data scientists with 2–4 years of experience in the US typically fall between $100K–$140K, so Doximity's range is at or slightly above average, especially with equity upside at a publicly traded company (Doximity: DOCS).

Skills You'll Build: This role develops a strong mix of in-demand skills:

• Advanced SQL and distributed data processing (Spark, column stores) — highly marketable
• Python data analysis (Pandas, NumPy) — foundational and widely applicable
• Stakeholder communication and data storytelling — differentiates data scientists in leadership tracks
• Healthcare domain expertise — a specialized and growing vertical in AI/data

Company Culture Signals: Doximity is a profitable, publicly traded company (not a high-burn startup), which signals stability. The emphasis on autonomy, ownership, and mentorship suggests a mid-size tech culture with room for individual contribution. Cross-functional team structure is a green flag for career breadth.

Green Flags: Explicit professional development budget, flexible PTO, equity at a public company, and mission-driven work in a growing AI-in-healthcare space.

Watch For: The role spans both product analytics and client-facing analytics — clarify in interviews whether the focus aligns with your career direction (ML/modeling vs. business intelligence).

This role can be filled in our San Francisco headquarters OR remotely in the U.S.

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity's AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.

As a Data Scientist, you'll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare.

Here's How You Will Make an Impact

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Play a key role in creating both product and client-facing analytics.
• Inform data team strategy by working with 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 2 years of professional experience as a data analyst or 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 results and solutions to stakeholders, clearly and compellingly.
• Proficient in Python data analysis libraries such as Pandas and NumPy; basic understanding of object-oriented programming concepts as they relate to Python.
• Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging Spark, etc.).
• Fast learner; curiosity about and passion for data.

Compensation

The anticipated total compensation for this role is $110,000 – $150,000, depending on factors such as experience, skills, location, and internal equity.

Our total compensation package may include:

• Equity (where applicable)
• Annual bonus or incentive compensation (where applicable)
• Specific compensation details will be discussed during the