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

About the role

The Data Science and Machine Learning (AI/ML) team at Agoda is responsible for designing, coding, experimenting, and implementing models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. We process some 600B events every day and make some 5B predictions.

Responsibilities

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research, discover, and harness new ideas that can make a difference.

Requirements

• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.

Qualifications

• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
• Experience in NLP, image processing and/or recommendation systems
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA

Skills

• Strong programming skills in Python, R, or similar languages.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Knowledge of statistical modeling techniques and machine learning algorithms.
• Experience with data visualization tools such as Tableau, PowerBI, or similar.

Benefits

• No benefits mentioned.

Pay

• No pay details mentioned.

Schedule

• No schedule details mentioned.

Additional Information

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.