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Navan is looking for a hands-on Senior Data Scientist to apply statistical modeling and AI to business optimization and better decision-making. You’ll partner with teams across Navan to turn business opportunities into analytical tools, models, and practical recommendations. You will lead projects from discovery through delivery, combining statistical methods, software development, and AI tools to support business decisions and reshape the traveler experience across planning, booking, and support.
What You’ll Do
- Identify opportunities in pricing, resource allocation, and operational efficiency, using quantitative models to compare options, assess trade-offs, and recommend improvements.
- Design analyses and experiments that help teams understand customer behavior, evaluate initiatives, and choose where to invest.
- Build reusable data-science solutions in Python and SQL, ranging from exploratory analysis to tested analytical workflows developed alongside Engineering.
- Develop forecasting and scenario models that support business planning and resource decisions.
- Build AI-enabled analytical applications, partnering closely with Engineering on deployment, evaluation, access controls, and monitoring.
- Use AI to explore research, generate hypotheses, and assess analytical approaches with appropriate validation of sources and results.
- Apply AI-assisted development to prototyping, testing, and documentation alongside established software-engineering practices.
- Explore business and customer data to surface patterns, explain performance, and guide further analysis.
What We’re Looking For
- 4+ years of experience in data science, applied analytics, or a related quantitative role, or an equivalent record of relevant delivery.
- Strong Python and SQL skills, with hands-on experience developing analytical or machine-learning solutions using real-world data.
- Background in statistics, mathematics, economics, computer science, or a related quantitative discipline, gained through study or applied experience.
- Hands-on experience using AI tools in research and software development.
- Applied experience with statistical modeling, forecasting, and experimental methods.
- Proven ability to collaborate with business and technical teams to develop and deliver data-driven solutions and communicate analytical findings and trade-offs to a range of audiences.
- Useful Experience:
- Cloud data platforms, automated analytical workflows or applied optimization.
- Developing and deploying AI-enabled applications, including evaluation and monitoring.
- Experience in travel, payments, fintech or another transaction-driven business.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.
Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.
Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.
Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.
Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.
Skills Required
- 4+ years of experience in data science, applied analytics, or a related quantitative role, or equivalent relevant delivery experience
- Strong Python and SQL skills
- Hands-on experience developing analytical or machine-learning solutions using real-world data
- Background in statistics, mathematics, economics, computer science, or a related quantitative discipline
- Hands-on experience using AI tools in research and software development
- Applied experience with statistical modeling, forecasting, and experimental methods
- Ability to collaborate with business and technical teams to deliver data-driven solutions and communicate analytical findings and trade-offs
- Experience with cloud data platforms, automated analytical workflows, or applied optimization
- Experience developing and deploying AI-enabled applications, including evaluation and monitoring
- Experience in travel, payments, fintech, or another transaction-driven business
What the Team is Saying
Navan Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is considered a strong point, with comments about solid plan options, provider networks, and support for families. The offering is portrayed as a reliable foundation of the total rewards package.
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Leave & Time Off Breadth — Flexible or unlimited vacation is positioned as a core benefit with broad time-off flexibility. The policy can be generous when workload and manager support align.
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Parental & Family Support — Paid parental leave for both birthing and non-birthing parents is described as a meaningful benefit. This support is highlighted alongside other family-friendly offerings.
Navan Insights
What We Do
Navan (Nasdaq: NAVN) is the leading all-in-one business travel, payments, and expense management platform that makes travel easy for frequent travelers. From finding flights and hotels to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.
Why Work With Us
At Navan, we’re never satisfied with the status quo, and we know breakthrough ideas come from diverse perspectives. We are committed to cultivating a workplace that reflects the diversity of the customers we serve while fostering leadership and innovation.
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Navan Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In-person connections is the foundation of Navan, the connections forged through face-to-face interactions improve company culture and what we can achieve together. We operate on a hybrid working model, which we define as four days a week in-office.
