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

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.