Job Url: https://www.remoterocketship.com/company/hotelengine/jobs/senior-data-scientist-united-states-remote Job Description: Hotel Engine Website LinkedIn All Job Openings Hotel Engine is a powerful platform that simplifies business travel by allowing companies to easily book, manage, and save on travel needs. The platform offers access to over 750,000 hotels globally, enabling seamless reservations for various group sizes, from small teams to large corporate events. With features like centralized reporting, flexible payment options, and dedicated support, Hotel Engine aims to streamline the travel experience for both organizations and individual travelers, ensuring significant savings in time and money. Hotels • Members Only • Business travel • Hotel Savings • SMB 501 - 1000 employees Founded 2018 🛍️ eCommerce 🚗 Transport 🔥 Funding within the last year 💰 Series C on 2024-09 Senior Data Scientist Yesterday 🇺🇸 United States – Remote 💵 $150k - $186k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • 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 🎯 Requirements • Experience: 5+ years of hands-on experience in Data Science or ML 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, and you're especially adept at working with large, complex datasets. • Tech-Savvy: Strong 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: You thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. You're not just building models—you’re helping shape pricing strategy. 🏖️ Benefits • Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Benefits: Check out our full list at engine.com/culture. • Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a 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. Apply Now