Staff Data Scientist, Pricing
Confirmed live in the last 24 hours
Engine
Compensation
$144,500 - $247,600/year
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 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.
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