Streamline your corporate travel management and expense processes in one app. Save time, gain efficiency, and reduce costs with this powerful, all-in-one solution.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they'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
More about this role
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.
- 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...
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