At Navan, “It’s all about the user. All of them.” We’re building the next generation of AI-first business travel, where experiences are not just seamless—but tailored to each traveler, in real time. Our agentic platform is at the core of that transformation: a smart, proactive travel assistant that anticipates needs, adapts to context, and evolves with the user.
We are seeking a Senior Data Scientist to lead the development of personalization models that power our AI agents. In this role, you’ll design and deploy intelligent systems that understand each traveler’s preferences, intent, and behavior—transforming complex user journeys into effortless, hyper-personalized experiences.This is a high-impact, cross-functional role working closely with product managers, engineers, designers, and the AI/LLM platform team to create deeply personalized, autonomous travel assistance that feels like magic (but is all math and modeling underneath).
What You’ll Do:
Design and build machine learning models that power personalization across our agentic platform, including traveler profiles, flights & hotels recommendation engines, and behavioral prediction systems.
Develop algorithms that adapt and learn from user behavior over time, channels, and modalities (text, voice, action).
Collaborate with PMs, engineers, and conversational designers to integrate ML into real-time decision loops, conversational agents, and proactive UX flows.
Own experimentation pipelines and performance evaluation, AB tests, offline metrics, and production agent behavior.
Work hands-on with structured and unstructured data (e.g., travel history, chat logs, user feedback, booking behavior) to extract insights and drive model improvement.
Define and maintain robust MLops practices: monitoring, retraining, feature pipelines, and real-time inference.
Stay current with the latest in recommender systems, LLM integration, embeddings, retrieval augmentation, and agentic reasoning to continuously evolve our approach.
What We’re Looking For:
5+ years of experience in applied data science or machine learning roles, with a strong focus on personalization, recommender systems, or predictive modeling.
Advanced degree (MS/PhD) in Computer Science, Machine Learning, Statistics, or a related field, or equivalent hands-on experience.
Proficiency in Python and ML frameworks
Strong grounding in data pipelines and working knowledge of tools such as SQL, Spark, Airflow, and modern MLOps stacks.
Experience building real-time or near-real-time recommendation systems at scale.
Bonus points for working with conversational agents, LLM-based systems (e.g. RAG, prompt engineering), or user embeddings.
Passion for crafting user-centric AI, and curiosity about human behavior in the context of travel
Ability to communicate technical concepts clearly and collaborate cross-functionally with product, design, and engineering teams.
Join Navan and help shape a future where travel doesn’t just respond to a user’s query, it anticipates it. Let’s build AI that truly knows you, and travels with you.
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What We Do
Navan is the leading all-in-one business travel and expense management solution 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.
