Published: Sat, 21 Jun 2025 12:50:50 GMT
Position: Senior Data Scientist at Engine
Company Overview:
Engine is a leading travel platform that is revolutionizing the way businesses and their teams experience work travel. Our modern platform offers seamless booking options with top airlines, hotels, and car rental providers, as well as single-invoice billing and flexible trip modifications. We are backed by powerhouse investors like Telescope Partners, Blackstone, Elefund, and Permira, and we are growing quickly. Join us on our journey to transform work travel and be a part of our dynamic team.
Job Description:
As a Senior Data Scientist at Engine, you will play a crucial role in a collaborative and innovative environment. You will be responsible for analyzing large-scale pricing datasets, building enterprise-grade ML models, and developing strategic pricing algorithms. You will also have the opportunity to collaborate with cross-functional teams and drive business impact through your work.
Key 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
– 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:
– 5+ 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, with experience working with large, complex datasets
– Proficiency in SQL and Python, with experience in agnostic tech stacks. Bonus points for experience with Snowflake or Streamlit
– Master’s degree in a quantitative field, PhD preferred
– Thrives in fast-paced environments and can effectively communicate insights to technical and non-technical audiences
– Driven by real business impact and able to contribute to pricing strategy development
Application Details:
Applications for this role will be accepted through 10/16/2025 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 and expertise. 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:
$150,000 — $186,000 USD
Benefits and Perks:
At Engine, we believe in rewarding great work with great benefits. Our compensation includes competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. We also offer a comprehensive benefits package, including but not limited to:
– Health, dental, and vision insurance
– 401(k) matching
– Flexible spending accounts
– Life insurance
– Disability coverage
– Paid time off and holidays
– Parental leave
– Professional development opportunities
– Employee discounts and perks
Our work environment is designed to support success, and we offer a hybrid-hub model to accommodate different needs and preferences. Whether you work in one of our offices or remotely, we provide the necessary resources and support for you to excel in your role.
Join Our Team:
Are you ready to join us on our mission to transform work travel? Apply now and be a part of our dynamic team. Let’s make travel simpler, smarter, and more enjoyable together.
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