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
February 20
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
• Join Our Journey at Engine. • At Engine, we’re revolutionizing work travel. Our modern travel platform isn’t just about booking trips; it’s about transforming how businesses and their teams experience travel. From seamless booking options with top airlines, hotels, and car rental providers to single-invoice billing and flexible trip modifications, we make travel not only easier to manage but also enjoyable. • Establishing and maintaining high-quality data infrastructure, data assets, and data science capabilities are critical for the company's continued success. • You’ll play a vital role in an environment where innovation meets collaboration.
• 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments. • Strong expertise in machine learning algorithms and statistical modeling, with proficiency in Python (including scikit-learn, numpy, and pandas) and SQL. Experience with Snowflake and Streamlit is a plus. • MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science. • A bias toward simple, effective ML solutions before diving into complex approaches. • Ability to present findings clearly to both technical and non-technical stakeholders. • Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact.
• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Check out our full list at engine.com/culture. • 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 NowFebruary 20
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