Senior Data Scientist - Content

About this role

About Engine Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents. That work has earned Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (2026), and one of Built In's Best Places to Work (2020–2026).

We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar. Come outpace the ordinary and build the future of travel with us. Your Mission Establishing and maintaining high-quality data infrastructure, data assets, and data science capabilities are critical for the company's continued success.

We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business. As a Data Scientist at Engine, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of: Develop and implement data science strategies to enhance key machine learning models and services, including lead scoring, churn modeling, pricing, personalization, and fraud detection.

Collaborate with engineering and business stakeholders to ensure actionable insights, effective implementation, and measurable business impact. Drive end-to-end data science initiatives , from gathering and analyzing data to feature engineering, model selection/training, inference, and monitoring. Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams. Effectively communicate findings to both technical and non-technical audiences, ensuring transparency and alignment across teams.