Data Scientist, Pricing

Join to apply for the Staff Data Scientist, Pricing role at 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.

• 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

• Experience: 7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
• Skills: Strong machine learning and statistical modeling skills; adept at working with large, complex datasets.
• Tech-Savvy: 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: Thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. Help shape pricing strategy.

Base Pay Range: $144,500—$247,600 USD

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Benefits: Check out our full list at
• Environments for Success: 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.

Mid-Senior level

Full-time

Engineering and Information Technology

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Apply now and let's make travel simpler, smarter, and more enjoyable—together.