Data Scientist

Connect with us to connect the world.

Are you prepared to join the Data team at 12Go and help us build the leading online travel platform, providing seamless booking experiences for travelers worldwide? 

12Go, being a part of Travelier group, offers a wide range of transportation options, including trains, buses, ferries, and flights, to help customers travel conveniently and affordably. Our vision is to enable any customer to instantly book any route in the world.

What is Data Team @ 12Go?

• We do not believe in micromanagement, hierarchy, time tracking, useless work, or excessive processes.
• We do believe in proper planning, responsibility, commitments, 360-degree feedback, and constant self-evolution.
• Our team is a team of people who love data and who can make it worthwhile for anyone.
• We are genuinely open to new ideas. Anyone can share one, and ultimately, this idea can be game-changing for the company, so your voice really matters.
• Open and friendly environment for anyone. Be yourself and have fun!

We are looking for a Data Scientist with deep expertise in statistical modeling, classical machine learning, and proven production experience—especially in one or more of the following domains: Ranking, Dynamic Pricing.

Responsibilities

• Design advanced analytical and machine learning solutions to address real-world, large-scale TravelTech challenges, taking end-to-end ownership.
• Collaborate with cross-functional teams to implement AI/ML-driven solutions that resolve identified pain points.
• Propose actionable solutions and strategies to tackle various business challenges.
• Stay Updated on the latest trends and advancements in Data Science and Artificial Intelligence.

Requirements

• 3+ years of production experience in Data Science / Machine Learning.

• In-depth understanding of a wide range of machine learning algorithms, with the ability to select the most appropriate for specific tasks.
• Substantial experience in Python for both research and production ML.
• Proficiency in SQL and hands-on experience working with complex datasets (we use ClickHouse/MariaDB).
• MLOps knowledge (hands-on experience using AWS SageMaker is a plus)
• Upper-intermediate or higher English proficiency.

Nice to have:

• Work experience in travel industry.
• Familiarity with online-learning algorithms
• Experience with BI tools

Benefits

• Engaging work on a product that enables millions of travelers to book their trips daily;
• Full-time remote working - 5 days week, 8 hours per day;
• Development opportunities (budget for self-paced learning, global training workshops, online English language classes, e-learning platforms);
• Internal growth and internal mobility opportunities;
• Competitive annual leave, sick leave, and public holidays;
• Annual company offsite in Thailand;
• High-growth start up international environment.