Sr. Data Scientist
01A
San Francisco, CA · $122k–$270k a year · Posted November 4, 2026
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Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.
Pay Range $121,500 — $270,000 USD
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.
About Navan
Navan (Nasdaq: NAVN) is the global AI-powered business travel and expense 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 .
Culture of Excellence
Our team is our competitive edge — a high-performance group of smart, driven people committed to winning together. This dedication to excellence is why we’ve been recognized as a Best Place to Work by Built In (2023–2026), a G2 Best Global Software Company (2025–2026), Forbes Cloud 100 (2022–2025), and CNBC Disruptor 50 (2022–2025). At Navan, we provide an environment where top talent excels, offering the autonomy and fast-paced trajectory needed to build a defining career and do the best work of your life.
Our Benefits
Navan offers a comprehensive benefits program designed to support your well-being, financial security, and life outside of work. Our benefits, thoughtfully tailored by country to meet local needs, include healthcare coverage, insurance offerings, and wellness resources for you and your family.
We support long-term financial growth through retirement savings programs and opportunities to participate in our equity plans, so you can share in Navan’s success. To promote balance, we offer flexible time off, country-specific holidays, and paid parental leave for all new parents. Additional benefits include connectivity and commuting support*, mental health resources, and exclusive travel-related perks. Wherever you’re based, our benefits evolve with you.
Workplace Policy
Navan believes in the value of in-person connections, whether that’s sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improve company culture and drive business results. Navan invests in global office spaces — in the U.S., Europe, and Asia, among others — that feel welcoming. In-office perks such as company-provided lunches and happy hours create a strong team environment to help you do your best work. Our employees work from the office four days a week. Please expect this policy for all roles that are tied to an office.
Equal Opportunity<