travel-techpalo-alto-cadata-scientistnavan

Data Scientist at Navan — Salary, Interview, Culture Guide (2026)

Interested in a Data Scientist role at Navan? Get insights into salary, the interview process, and the skills you need to succeed in the travel tech industry.

Company

Navan

Role

Data Scientist

Salary Range

$140,000 – $300,000+

Interview

4-5 rounds

What It's Like to Be a Data Scientist at Navan

Data Scientists at Navan play a crucial role in building a world-class fraud detection and prevention platform. They work on a variety of projects, from developing and deploying machine learning models to analyzing large datasets to identify emerging fraud trends. Data Scientists at Navan are part of the Fraud Risk Management organization and work closely with engineers and analysts to protect the company and its customers from fraud. They are expected to have strong analytical and investigative skills, as well as experience with machine learning and data analysis tools.

Salary & Compensation

Navan offers competitive compensation packages for its Data Scientists, including a strong base salary, equity, and bonuses. The salary range can vary based on experience, location, and specific team.

LevelBase SalaryTotal Comp (incl. equity)
Entry (L1-L2)$120K–$170K$140K–$210K
Mid (L3-L4)$170K–$230K$210K–$320K
Senior (L5+)$230K–$300K$320K–$480K+

Interview Process

The interview process for Data Scientists at Navan is designed to assess a candidate's analytical and technical skills. It typically consists of 4-5 rounds:

  1. Recruiter Screen — An initial call to discuss your background and interest in Navan.
  2. Hiring Manager Interview — A conversation with the hiring manager to discuss your experience and fit for the team.
  3. Technical Interview — A technical screen to assess your data science and machine learning knowledge.
  4. Onsite/Virtual Loop — A series of interviews with data scientists, engineers, and other stakeholders, which may include a case study or a presentation of your past work.
  5. Final Interview — A final conversation with a senior leader.

How to Stand Out

  • Strong analytical and investigative skills: Demonstrate your ability to identify, analyze, and disrupt emerging fraud trends.
  • Experience with machine learning: Highlight your experience with developing and deploying machine learning models.
  • Passion for fighting fraud: Show a genuine interest in fraud detection and prevention.
  • Collaborative mindset: Navan values teamwork and collaboration. Highlight your ability to work effectively with others.

Related Resources