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

About the role

The role is based in Bangkok and will be part of the Data Science and Machine Learning (AI/ML) team. You will work on real-world challenges such as dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. You will have access to one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

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 machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with distributed computing frameworks like Apache Spark or Hadoop.
• Experience with data visualization tools such as Tableau or PowerBI.

Benefits

No specific benefits are mentioned in the job posting.

Pay

No specific pay information is provided in the job posting.

Schedule

No specific schedule information is provided in the job posting.

Additional Information

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