Staff Data Scientist, Pricing

Engine

7d • 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.
As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration.

Requirements

• 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.
• 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.

Nice To Haves

• Experience with agnostic tech stacks is a plus.
• Bonus points if you’ve worked with Snowflake or Streamlit.

Responsibilities

• 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

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.
• 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.

What This Job Offers

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