Agoda
Staff/LeadLLMDataScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff/Lead LLM Data Scientist at Agoda. Skills: LLM, Data science, Machine learning, AI/ML/DL. Design models and algorithms. Experiment with models and algorithms”
What You'll Achieve.
Maximize customer experience; Maximize supply side value; Maximize business outcomes; Maximize infrastructure readiness; Drive improvements; Drive innovation
Industry & Context.
Problem solving
What They're Looking For.
Must Have
4+ years hands-on data science experience, Excellent understanding of AI/ML/DL and Statistics, Coding proficiency using related open source libraries and frameworks, Significant proficiency in SQL, Proficiency in Python, PySpark and/or Scala, Can lead, work independently as well as play a key role in a team, Good communication and interpersonal skills
Nice to Have
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, Experience in data science for e-commerce and/or OTA
What You'll Do.
Design models and algorithms
Experiment with models and algorithms
Implement models and algorithms
Discover actionable insights
Work with business owners
Deliver daily results
How You'll Work.
Team & Collaboration
Multicultural work environment; Developers; Business owners
Communication Scope
Communication; Interpersonal skills
Full Job Description
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda 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 Agoda. 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. Get to Know Our Team The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging producti
Applying for this Staff/Lead LLM Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Agoda?
Real rants from real employees. Read before you apply.