Staff Data Scientist, Pricing
$145k - $248k USD
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 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.
Your Mission:
As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:
- Analyze large-scale pricing datasets to identify trends and benchmark comparable properties across regions
- Architect core pricing intelligence systems using robust statistical ML methods that form the foundation for our next-generation pricing platform
- Build enterprise-grade ML models that balance sophistication with interpretability, ensuring stakeholder confidence and regulatory compliance
- Develop strategic pricing algorithms that combine the reliability of proven statistical methods with the innovation of modern ML engineering
- Advanced analytics experience, including experimental design, A/B testing, and causal inference methods
- Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities
- Perform exploratory data analysis and communicate clear, actionable insights to leadership and stakeholders
- Drive business impact by building strategic models and thriving in a fast-paced, high-growth environment
What You’ll Bring to Engine:
We’re looking for someone who’s ready to make an impact and grow alongside us:
- Experience: 7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
- Skills: You’re a problem-solver with strong machine learning and statistical modeling skills, and you're especially adept at working with large, complex datasets.
- Tech-Savvy: Strong proficiency in SQL and Python is a must. Experience with agnostic tech stacks is a plus. Bonus points if you’ve worked with Snowflake or Streamlit.
- Education: A Master’s degree in a quantitative field is highly desired; a PhD is a plus.
- Mindset: You thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. You're not just building models—you’re helping shape pricing strategy.
Applications for this role will be accepted through 06/01/2026 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
$144,500—$247,600 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.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 13th, 2025. Please see the independent bias audit report covering our use of Covey here.
Ready to Build the Future of Work Travel?Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.