Lead Data Scientist / Machine Learning Engineer

Agoda; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading travel technology company in Singapore seeks a Lead Data Scientist/Machine Learning Engineer to join their Data Science and Machine Learning team. You will work on complex machine learning and big data challenges, leveraging extensive infrastructure to optimize user experiences and business outcomes. Ideal candidates should possess over 4 years of data science experience, strong AI/ML understanding, proficiency in Python and SQL, and excellent communication skills to thrive in a multicultural team environment.

Qualifications

• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics.
• Significant proficiency in SQL and Python, PySpark or Scala.

Responsibilities

• Design and implement models and algorithms for customer experience.
• Mine big data for actionable insights.
• Work with developers and business owners to deliver quality results.

Skills

Data science experience

AI/ML/DL understanding

SQL proficiency

Python proficiency

Good communication skills

Education

PhD or MSc in Computer Science/Statistics

Tools

PySpark

Spark

Hadoop

Job description

Lead Data Scientist/Machine Learning Engineer (Singapore based)

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 шак]; 0 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 propertiesора 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 wav on, 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 productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to 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. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

In This Role, You’ll Get to

• Design, code, experiment and implement models and algorithms to maximize customer experience رؤ 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_modified ideas that can make a difference.

What You’ll Need to Succeed

• 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 nessa team.
• Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You 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, working with big data framework like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda.features solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

Wewill keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

Disclaimer

We do not accept any terms or conditions, nor do teslim recognize any agency’s representation of a candidate, from unsolicited third‑party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation xaq pay a recruitment fee.