Manager, Data Science

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🕒 Maio 5

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Hotel Engine

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

🛍️ Comércio Eletrônico

🚗 Transporte

💰 $65.000.000 Series B em 2021-12

eCommerce • Transport • Travel

A Hotel Engine é uma plataforma poderosa que simplifica as viagens de negócios ao permitir que as empresas reservem, gerenciem e economizem com facilidade em suas necessidades de viagem. A plataforma oferece acesso a mais de 750. 000 hotéis no mundo todo, possibilitando reservas sem complicações para diferentes tamanhos de grupo, de pequenas equipes a grandes eventos corporativos. Com recursos como relatórios centralizados, opções de pagamento flexíveis e suporte dedicado, a Hotel Engine tem como objetivo agilizar a experiência de viagem tanto para organizações quanto para viajantes individuais, garantindo economias significativas de tempo e dinheiro.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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