Sr. Data Scientist

Navan • San Francisco, CA

16h • $121,500 - $270,000

About The Position

Navan is seeking a hands-on Senior Data Scientist to apply statistical modeling and AI to business optimization and decision-making. The role partners with teams across Navan to turn business opportunities into analytical tools, models, and practical recommendations. The Senior Data Scientist leads projects from discovery through delivery, combining statistical methods, software development, and AI tools to support business decisions and improve the traveler experience across planning, booking, and support.

Requirements

• At least 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.
• Ability to collaborate with business and technical teams to develop and deliver data-driven solutions.
• Ability to communicate analytical findings and trade-offs to a range of audiences.

Nice To Haves

• 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.

Responsibilities

• Identify opportunities in pricing, resource allocation, and operational efficiency; use quantitative models to compare options, assess trade-offs, and recommend improvements.
• Design analyses and experiments to help teams understand customer behavior, evaluate initiatives, and decide where to invest.
• Build reusable data-science solutions in Python and SQL, from exploratory analysis to tested analytical workflows developed alongside Engineering.
• Develop forecasting and scenario models to support business planning and resource decisions.
• Build AI-enabled analytical applications, partnering with Engineering on deployment, evaluation, access controls, and monitoring.
• Use AI to explore research, generate hypotheses, and assess analytical approaches while appropriately validating 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed