img
Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationMakkah

About the Role

Agoda, a prominent online travel platform and part of Booking Holdings, is seeking an ambitious Lead Data Scientist to join its Data Science and Machine Learning (AI/ML) team. This position, based in Bangkok, Thailand, offers the opportunity to work with large-scale productive machine learning and big data platforms. The role involves processing approximately 600 billion events daily and making around 5 billion predictions, contributing to Agoda's objective of simplifying travel for everyone. The Data department at Agoda is central to the company's innovation strategy, managing data-related requirements and enhancing data utilization through advanced resources. You will collaborate with a global team of over 7,000 individuals, leveraging extensive datasets to improve customer experiences, optimize business outcomes, and enhance fraud prevention measures.

Key Responsibilities

  • Design, develop, experiment with, and implement models and algorithms to enhance customer experience, supply-side value, business outcomes, and infrastructure readiness.
  • Analyze large datasets, including customer data, over 600 million daily user-generated events, and supplier and pricing information, to identify actionable insights for improvements and innovation.
  • Collaborate with developers and business stakeholders to deliver high-quality daily results.
  • Research and identify new ideas that can significantly impact the business and customer experience.

Qualifications and Requirements

  • A minimum of 4 years of hands-on data science experience.
  • Strong understanding of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Statistics.
  • Proficiency in coding using relevant open-source libraries and frameworks.
  • Significant proficiency in SQL.
  • Proficiency in programming languages such as Python, PySpark, and/or Scala.
  • Ability to lead, work independently, and contribute effectively within a team.
  • Good communication and interpersonal skills, necessary for a multicultural environment.

Preferred Qualifications

A PhD or MSc in Computer Science, Operations Research, Statistics, or other quantitative fields is advantageous. Experience in Natural Language Processing (NLP), image processing, recommendation systems, data engineering, and working with big data frameworks like Spark/Hadoop is highly desirable. Prior experience in data science for e-commerce and/or Online Travel Agencies (OTAs) is considered a plus.

Work Environment and Location

This full-time role is based in Bangkok, Thailand. Relocation assistance and full visa sponsorship are provided for eligible candidates. Agoda operates globally, with a presence in various regions.


Requirements

  • Requires 2-5 Years experience

Similar Jobs

Analyst/Senior Analyst, B2B Digital Marketing (Bangkok Based, relocation provided)

📣 Job AdNew

Agoda

Full-time

About the Role

Agoda is seeking a motivated Analyst/Senior Analyst to join its B2B Digital Marketing team. This role is central to connecting people with destinations and experiences globally through innovative travel solutions. As part of Agoda, a company founded in 2005 and now a part of Booking Holdings, you will contribute to a data-driven and technology-focused culture. The B2B Digital Marketing team operates within Agoda's B2B Marketing organization, responsible for executing high-quality, scalable marketing campaigns for partners across B2B2C channels. Collaboration with Commercial, Product, Data, and regional Marketing teams is key to ensuring efficient campaign execution, clear performance measurement, and the delivery of actionable, data-driven recommendations that create value for both Agoda and its partners. The team aims to balance operational excellence with growth impact by building repeatable, scalable frameworks that support numerous partners while providing tailored insights.

Due to ongoing expansion, multiple analyst roles are available within the marketing team, focusing on various marketing channels. While the specific scope will vary by channel, core functions will involve experimentation, campaign optimization, modeling, and insightful reporting.

Key Responsibilities

  • Experiment with and optimize campaign performance, including ads/campaign structures and bidding & pricing strategies on platforms such as Google, Bing, Tripadvisor, Trivago, and other search engines.
  • Adapt to new product features and implement changes derived from successful tests.
  • Analyze vast amounts of data generated by experiments to develop predictive models using data science techniques, such as understanding the impact of large-scale TV campaigns on bookings or demand elasticity from pricing optimization.
  • Liaise with product teams regarding the implementation roadmap for data-driven insights and models.
  • Build dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
  • Conduct reporting and analysis to inform strategic decisions and identify key performance drivers.

Qualifications and Requirements

  • Bachelor's degree or higher from a top university in a quantitative subject such as Computer Science, Mathematics, Engineering, Business, or Science.
  • Excellent verbal and written communication skills in English.
  • A minimum of 2 years of experience in data analysis, preferably gained from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
  • The ability to move fast and be efficient, making decisions based on objective evidence rather than subjective intuition.
  • An innate desire to take ownership, make a significant impact, and influence outcomes.
  • Excellent organizational skills, a keen attention to detail, and the ability to work independently.

Required Skills

  • Experimentation and campaign performance optimization.
  • Proficiency in analyzing ads/campaign structures and bidding & pricing strategies.
  • Experience with modeling and developing predictive models using data science techniques.
  • Strong data analysis capabilities, including reporting, deriving insights, and identifying growth levers.
  • Expertise in building dashboards and delivering presentations.
  • Proficiency in data analysis packages and databases such as SAS, R, SPSS, Python, VBA, and SQL.
  • Experience with visualization tools like Tableau and Power BI.
  • Demonstrated ability to make fast, efficient, and evidence-based decisions.
  • A proactive approach to taking ownership and driving impact.
  • Exceptional organizational skills and attention to detail.
  • Ability to work autonomously and effectively.
  • Experience in digital marketing or e-commerce is highly desirable.
  • Familiarity with A/B testing and other testing metrics.
  • Strong presentation and negotiation skills.
  • Skills that foster collaboration and team spirit.

Work Location and Details

This is a full-time position based in Bangkok. Relocation assistance is provided for this role.

breifcase2-5 years

locationMakkah

about 1 hour ago

Super User

📣 Job AdNew

Ninja

Full-time

About the Role

Ninja is seeking an experienced Super User to join our team in Jiddah, Makkah, Saudi Arabia. This role serves as the primary liaison between Warehouse Operations and the IT department, focusing on the effective utilization and optimization of our Warehouse Management Systems (WMS). The Super User will be instrumental in ensuring system efficiency, driving user adoption, maintaining data accuracy, and facilitating continuous process improvement within warehouse operations. This full-time position requires a proactive individual with a strong understanding of warehouse logistics and the ability to leverage technology to enhance operational performance, bridging the gap between business needs and technical solutions.

Key Responsibilities

  • Support and optimize warehouse operations through the effective use of Warehouse Management Systems (WMS).
  • Act as the key liaison between Warehouse Operations and IT, ensuring seamless communication and collaboration.
  • Drive system efficiency and ensure the WMS is utilized to its full potential.
  • Promote and facilitate user adoption of the WMS across the operations team.
  • Maintain and ensure the accuracy of data within the WMS.
  • Identify and implement opportunities for continuous process improvement within warehouse operations, leveraging WMS capabilities.
  • Deliver system training to end-users, ensuring they are proficient in using the WMS.
  • Provide ongoing support to end-users, troubleshooting issues and answering queries related to the WMS.
  • Map current warehouse processes and workflows to identify areas for optimization.
  • Track and report on operational performance metrics, utilizing data analysis tools.
  • Contribute to the successful implementation, enhancement, or integration of WMS solutions.

Qualifications and Requirements

  • Bachelor's degree in Information Technology, Computer Science, Industrial Engineering, or a related field. An IT background is preferred.
  • A minimum of 3 years of experience in warehouse or Distribution Center (DC) operations.
  • Strong hands-on experience with Warehouse Management Systems (WMS) and their associated modules.
  • Proficiency in data analysis and reporting tools, specifically Power BI and SQL.
  • Demonstrated experience in data analysis, reporting, and tracking operational performance.
  • Proven experience in delivering system training and providing end-user support.
  • A solid understanding of process mapping, workflow optimization, and continuous improvement methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, with the ability to effectively interact with both technical and non-technical stakeholders.
  • Experience supporting WMS implementations, enhancements, or integrations is considered an advantage.

Required Skills

  • Warehouse Management Systems (WMS)
  • Power BI
  • SQL
  • Data Analysis
  • Reporting
  • Operational Performance Tracking
  • System Training
  • End User Support
  • Process Mapping
  • Workflow Optimization
  • Continuous Improvement Methodologies
  • Analytical Skills
  • Problem-Solving Skills
  • Communication Skills
  • WMS Implementations
  • WMS Enhancements
  • WMS Integrations

Work Environment and Details

This is a full-time position based in Jiddah, Makkah, Saudi Arabia, covering operations within Jeddah and Makkah cities. The role requires 2-5 years of relevant experience.

breifcase2-5 years

locationMakkah

about 1 hour ago

Administrative Officer

📣 Job AdNew

Klanik

Full-time

About the Role

Klanik is seeking a highly organized and proactive Administrative Officer to support the GDAC Analytics Center within the Oil & Gas industry. This role focuses on providing comprehensive administrative support, with a primary emphasis on assisting the Director. The ideal candidate will be adept at coordination, communication, and ensuring the smooth execution of daily operations within a dynamic team environment. Klanik is an IT consulting company with 14 years of experience, serving major industrial and services groups. The company operates on principles of trust, ethics, respect, and transparency, fostering a culture of mutual support, continuous learning, and empowerment.

Key Responsibilities

  • Provide general administrative support to the GDAC Analytics Center.
  • Offer dedicated administrative assistance to the Director.
  • Coordinate meetings, schedules, documentation, and correspondence.
  • Support office operations and ensure efficient workflow management.

Qualifications and Requirements

  • Possess an undergraduate degree.
  • Have a minimum of 5 years of experience in administration.

Required Skills

  • Highly proficient in administrative and office support functions.

Work Environment and Location

This is a full-time position located in Jeddah, Makkah, Saudi Arabia. The role operates within a dynamic team environment, requiring strong coordination and communication skills to ensure efficient day-to-day operations.

breifcase5-10 years

locationMakkah

about 1 hour ago