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Senior Data Scientist - Revolutionize Work Travel with Data-Driven Insights

Remote Full-time Live

Join the Engine Team: Transforming Work Travel through Innovation

At Engine, we're pioneering a new era in work travel. Our cutting-edge platform is designed to make travel easier, more enjoyable, and more manageable for businesses and their teams. With the backing of renowned investors like Telescope Partners, Blackstone, Elefund, and Permira, we're experiencing rapid growth and invite you to be part of our journey.

Your Mission: As a Senior Data Scientist at Engine, you will play a pivotal role in driving innovation and collaboration. Your key responsibilities will include:

  • Analyzing large-scale pricing datasets to uncover trends and benchmark comparable properties across regions, informing strategic business decisions.
  • Architecting core pricing intelligence systems utilizing robust statistical machine learning methods, laying the foundation for our next-generation pricing platform.
  • Building enterprise-grade machine learning models that balance sophistication with interpretability, ensuring stakeholder confidence and regulatory compliance.
  • Developing strategic pricing algorithms that combine the reliability of proven statistical methods with the innovation of modern machine learning engineering.
  • Applying advanced analytics experience, including experimental design, A/B testing, and causal inference methods to drive business impact.
  • Collaborating cross-functionally with engineers, analysts, and business teams to identify pricing opportunities and optimize travel experiences.
  • Performing exploratory data analysis and communicating clear, actionable insights to leadership and stakeholders, driving data-informed decision-making.
  • Driving business impact by building strategic models and thriving in a fast-paced, high-growth environment, where innovation meets collaboration.

What You’ll Bring to Engine: We're seeking a talented and motivated individual who is ready to make a significant impact and grow with our team:

  • Experience: 5+ years of hands-on experience in Data Science or Machine Learning 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, adept at working with large, complex datasets and driving business outcomes.
  • Tech-Savvy: Strong proficiency in SQL and Python is required. Experience with agnostic tech stacks is a plus, with bonus points for familiarity with Snowflake or Streamlit.
  • Education: A Master’s degree in a quantitative field is highly desired; a PhD is a significant plus.
  • Mindset: You thrive in fast-paced environments, communicate insights clearly to both technical and non-technical audiences, and are driven by real business impact, shaping pricing strategy through data-driven insights.

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 tailored to your experience and expertise, including a competitive base salary, equity, and/or variable pay (OTE). Your recruiter will share your complete compensation package as you progress through the process.

Base Pay Range $150,000—$186,000 USD

The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits:

  • Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Benefits: Explore our full list at engine.com/culture.
  • Environments for Success: We offer a hybrid-hub model, ensuring you have what you need to succeed, whether in one of our amazing offices or fully remote.

Perks and benefits may vary based on employment type, location, and more.

Ready to Build the Future of Work Travel? Join us on our mission to transform work travel—for businesses, travelers, and the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.

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