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Role Description

Your Mission:

• 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

Qualifications

• 7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains
• Strong machine learning and statistical modeling skills, adept at working with large, complex datasets
• Strong proficiency in SQL and Python; experience with agnostic tech stacks is a plus
• Bonus points if you’ve worked with Snowflake or Streamlit
• A Master’s degree in a quantitative field is highly desired; a PhD is a plus
• Thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact

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
• Hybrid-hub model for different roles to ensure success, whether in-office or fully remote

Company Description

At Engine, we’re transforming business travel into something personalized, rewarding, and simple. We believe the future of travel should be seamless and powered by technology that delights customers at every step.

• More than 20,000 companies rely on Engine to support over 1 million travelers and billions in annual bookings each year
• Cash flow positive with rapid growth
• Recognized as one of the fastest-growing travel and fintech platforms in North America
• Honors include the Deloitte Fast 500 and Built In’s Best Places to Work