Manager, Data Science

Engine

1d • Hybrid

About The Position

At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.
To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel.
More than 20,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience.
Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work.
We are seeking a Manager of Data Science to lead our talented team of data scientists and drive the execution of our AI roadmap. In this role, you will balance technical mentorship with project management, transforming business requirements into scalable machine learning solutions. You will be a player-coach who enjoys staying close to the code while helping your team grow, ensuring that our models for pricing, personalization, and fraud detection deliver measurable business impact.

Requirements

• 7+ years of experience in Data Science, with at least 1–2 years in a formal or informal leadership role (e.g., Lead Data Scientist or People Manager).
• Deep expertise in machine learning, predictive modeling, and statistical analysis.
• Expert-level proficiency in Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
• Experience working with large-scale datasets and cloud environments (AWS, GCP, or Azure).
• Proven ability to "bridge the gap" between technical execution and business value.

Nice To Haves

• Experience in B2B, marketplace, travel, or e-commerce industries is highly preferred.
• Advanced degree (Master’s or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

Responsibilities

• Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development.
• Own the end-to-end lifecycle of ML models—from data exploration and prototyping to deployment and monitoring.
• Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects.
• Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews.
• Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features.
• Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration.
• Communicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions.

Benefits

• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Check out our full list at engine.com/culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager