Job Description

About Engine
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 17,000 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.

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.

Your Mission: As a Senior 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.

What You’ll Bring to Engine: We’re looking for someone who’s ready to make an impact and grow alongside us:

• Experience: 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments.
• Technical Skills: Strong expertise in machine learning algorithms and statistical modeling, with proficiency in Python (including scikit-learn, numpy, and pandas) and SQL. Experience with Snowflake and Streamlit is a plus.
• Education: MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.
• Problem-Solving Mindset: A bias toward simple, effective ML solutions before diving into complex approaches.
• Communication Skills: Ability to present findings clearly to both technical and non-technical stakeholders.
• Adaptability: Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact.

Applications for this role will be accepted through 01/01/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.

Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.

Base Pay Range

$150,000 – $200,000 USD

The Engine Edge: Perks & CompensationWe believe in rewarding great work with great benefits:

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Benefits: Check out our full list at engine.com/culture.
• Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more.