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Senior Data Scientist

Pay
USD 121,500–270,000/yearAnnual period assumed — pay source
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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • You’ll partner with teams across Navan to turn business opportunities into analytical tools, models, and practical recommendations.

  • 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.

From the employer’s posting
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.
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.
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Posting record

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Status in our records
Live
First seen by us
Oct 22, 202618 days ago
Recorded sightings
49
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$122K–$270K against $118K–$194K, the middle half of what similar US postings state.

From 3,819 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 18

Similar jobs usually come down between day 7 and day 57.

At Navan, jobs usually come down by about day 47.

From 10,789 similar postings that came down, and 8 of Navan’s. Coming down is not always a hire.

Navan is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

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  • Python
  • SQL
Where the posting names them
- 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.
- 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.

Your next step

Complete your application on navan.com. The employer’s form will show what is required.

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About Navan

People
About 1,145 in 2024.Benefit plan filings (Form 5500)
Company
Listed as NAVN.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

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Pay
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.
Location & working pattern

San Francisco, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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