Lead/Principal Data Scientist (Bangkok based, Relocation provided)

4 нед. назад

ТаиландLead

machine learningaianalytics

Senior individual contributor leading advanced analytics and machine-learning initiatives to solve high-impact business problems for .

At , we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at . Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Extensive hands-on experience in data science, machine learning, and statistics.
Experience delivering production models with measurable customer or business impact.
Strong Python and SQL skills; experience with large-scale data and ML platforms.
Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.

Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
Experience with production LLM or generative-AI systems.
Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.

The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for ’s highest-impact opportunities. This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. You will influence technical direction and deliver measurable customer and business impact. What You’ll Do
Identify and solve high-leverage problems across .
Translate ambiguous problems into measurable objectives and technical solutions.
Lead the design and deployment of ML, AI, and analytical solutions.
Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
Partner with cross-functional leaders to shape strategy and roadmaps.
Provide technical leadership and mentorship across the data-science community.
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