Manager, Data Science

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🕒 May 5

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Hotel Engine

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🛍️ eCommerce

🚗 Transport

💰 $65M Series B on 2021-12

eCommerce • Transport • Travel

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.

📋 Description

• Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development. • Own the end-to-end lifecycle of ML models—from data exploration and prototyping to deployment and monitoring. • Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects. • Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews. • Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features. • Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration. • Communicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions.

🎯 Requirements

• 7+ years of experience in Data Science, with at least 1–2 years in a formal or informal leadership role (e.g., Lead Data Scientist or People Manager). • Deep expertise in machine learning, predictive modeling, and statistical analysis. • Expert-level proficiency in Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch. • Experience working with large-scale datasets and cloud environments (AWS, GCP, or Azure). • Experience in B2B, marketplace, travel, or e-commerce industries is highly preferred. • Proven ability to 'bridge the gap' between technical execution and business value. • Advanced degree (Master’s or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

🏖️ Benefits

• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Check out our full list at engine.com/culture.