The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for Agoda's highest-impact opportunities. This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. The position requires extensive hands-on experience in data science, machine learning, and statistics, along with strong Python and SQL skills. Candidates must be able to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
This role is part of the Performance Marketing Team, a data-driven department focused on developing at-scale marketing programs to improve customer lifetime value. The Analyst will work on experimentation and optimization, analyzing vast amounts of data generated by experiments to develop predictive models. Responsibilities include building dashboards to track performance, deriving insights, and communicating recommendations to stakeholders. The position requires liaising with product teams to implement roadmap changes.
Job Description
* Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions
* Extract insights from large and complex datasets using a variety of tools and techniques
* Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling
* Present findings and recommendations to stakeholders in a clear and compelling manner
* Implement data-driven solutions in various environments, including integration with existing systems and processes
* Stay up to date on the latest development in data science and bring new idea and technology to the team
* Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time
Qualifications
* Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field
* 4+ years of experience as a Data Scientist, with a focus on industries
* Descriptive Analytics
* Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path)
* Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases
* Experience with statistical and machine learning techniques
* Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others
* Experience with data visualization tools such as Looker Studio, Tableau, and Power BI
* Strong problem-solving and communication skills
* Experience with Cloud technology and databases (Cloud AWS, Azure, GCP)
* Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery
Join Agoda's Performance Marketing Team to drive data-driven marketing strategies that enhance customer lifetime value. You will design and execute pricing experiments across various traffic segments, adapting to new product features based on test results. The role involves developing predictive models to understand demand elasticity and collaborating with product teams to implement roadmap changes. You will also build performance dashboards to derive actionable insights and communicate strategic recommendations to stakeholders.
This position requires a strong analytical background and the ability to translate complex data into clear business strategies. You will work closely with experts from diverse global backgrounds in a collaborative environment focused on learning and growth. The team leverages advanced data science techniques and technology to optimize marketing programs at scale.
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.
THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED)
**Get to Know our Team:**
The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
**The Opportunity:**
We are seeking an Associate Director/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations.
**In this Role, you’ll get to:**
* **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
* **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
* **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams.
* **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
* **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
* **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
* **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
* **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
**What you’ll Need to Succeed:**
* 5+ years of leadership experience in analytics/data science/insights/strategy
* 2+ years’ experience leading analytics, operational, product or other technical teams
* Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar
* Strong statistical modelling and machine learning knowledge
* Strong experience in finding data insights and provide business recommendation to the business
* Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
* Ability to multi-task, prioritize and coordinate resources.
* Strong program/project management experience.
* Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)
* Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus
* People management – track record of developing stars
* Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process
**It’s Great if you Have:**
* Master’s degree in statistics, economics, mathematics or similar discipline
* Experience in conducting A/B testing experimentation
* Travel industry / e-commerce / tech / consulting experience
#### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
Agoda is looking for a strategic, data-driven leader to steer our global marketing investments. In this role, you aren’t just spending a budget; you are managing a global P&L. You will bridge the gap between high-level financial targets and granular marketing execution, ensuring every dollar spent maximizes long-term profitability. You will define our global market strategy, own our Lifetime Value (LTV) frameworks, and lead a high-performing team to outpace the competition in a high-velocity travel market.
This position grants you a “seat at the table” for Agoda’s most critical commercial decisions. You will use **machine learning** and **predictive analytics** to solve the “game theory” of the online travel industry, where pricing and loyalty change by the hour.
**What You Will Do**
* **P&L Stewardship:** Drive marketing investment strategies to meet Finance P&L targets, balancing short-term volume with long-term margin optimization.
* **Strategic Growth Strategy:** Define and execute Agoda’s global growth roadmap, identifying market opportunities and responding to competitor moves in real-time.
* **Investment Orchestration:** Coordinate marketing spend across all digital channels (Performance, Brand, Meta) to ensure a cohesive and efficient global footprint.
* **LTV & Unit Economics:** Together with the data science team, own and refine our definition of Lifetime Value (LTV); use these insights to shift the business toward high-value customer acquisition.
* **Forecasting & Modeling:** Lead business forecasting efforts to predict market shifts and proactively adjust investment levels.
* **Cross-Functional Leadership:** Act as the primary liaison between Marketing, Corporate Strategy, Product, Finance and Supply to align and execute cross-functional initiatives.
* **Team Development:** Lead and mentor a team of analysts, fostering a culture of rigorous experimentation and “get-things-done” ownership.
**Experience & Skills**
* **Analytical Rigor:** Exceptional ability to translate complex data sets into actionable business strategies. Expertise in SQL, Excel, or data visualization tools is expected.
* **Commercial Acumen:** Strong background in Revenue Management, Forecasting, Pricing, or Growth Equity. You understand how marketing levers impact the bottom line.
* **Strategic Mindset:** Experience defining 1–3 year growth strategies in a global, fast-paced e-commerce or OTA environment.
* **Product Exposure:** Familiarity with machine learning algorithms and technical product development—you can speak the language of engineers and data scientists.
* **Leadership:** Experience hiring and coaching high-potential talent in a multicultural, high-pressure environment.
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.
**THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)**
**Location: Bangkok, Thailand (*Not open for remote work)**
**Get to Know our Team:**
The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
**The Opportunity:**
As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
**In this Role, you’ll get to:**
* Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)
* Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
* Proactively identify opportunities for growth within supply and the wider business.
* Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
* Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
* Automate manual operational processes and present back on time savings gained through modernization of business operations
**What you’ll Need to Succeed**:
* At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
* Advanced working knowledge and hands-on experience in SQL
* Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
* Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
* Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
* A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
* Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
* Experience in conducting A/B testing experimentation
* Strong experience in finding data insights and provide business recommendation to the business
* A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
* Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
* Data driven in both decision making and performance measurement.
* Extreme comfort in ambiguous, fast-paced environment.
* Ability to multi-task, prioritize and coordinate resources.
**It’s Great if you Have:**
* MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
* Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
* Asian market experience.
* Travel industry / e-commerce / tech / consulting experience.
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 Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
Why Agoda Engineering Team?
Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
In this Role, you will get to:
* Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes
* Able to analyze data to help us make better decisions
* Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production
* Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks
* We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace
What You’ll need to Succeed:
* Bachelor’s degree in computer science/information systems/engineering/related field
6+ years of experience in software engineering with at least 4+ years in data/ml engineering
* Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality
* Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
* Expert in software design/design patterns/best practices, functional programming and object-oriented programming.
* Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
* Familiar with general Machine Learning concepts and common models – ie, regularization, Tree Models, etc
* Familiar with statistical analysis concepts – ie, p-value, z-score, etc
* Analytical problem-solving capabilities & experience.
A strong data-driven engineering driven mindset will be required to succeed in this role.
It’s great if you have:
* Good understanding of Hadoop ecosystems and Big Data architecture and technologies
* Experience with Scala/Scala Spark development
* Working in an agile environment using test driven methodologies
* Systems administration skills in Linux
Benefits
* Hybrid Working Model
* WFH Set Up Allowance
* 30 Days of Remote Working from anywhere globally every year
* Employee discount for accommodation globally
* Global team of 90+ nationalities
* 40+ offices and 25+ countries
* Annual CSR / Volunteer Time off
* Benevity Subscription for employee donations
* Volunteering opportunities globally
* Free Headspace subscription
* Free Odilo & Udemy subscriptions
* Access to Employee Assistance Program (third party for personal and workplace support)
* Enhanced Parental Leave
* Life, TPD & Accident Insurance
Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
Equal Opportunity Employer
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 is based 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.
We will 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](https://careersatagoda.com/privacy-statement).
Disclaimer
We do not accept any terms or conditions, nor do we 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 to pay a recruitment fee.
Apply Now
Senior/Staff Data Engineer – Bidding (Bangkok based, relocation provided)
+93
Given that the majority of our team is based in Bangkok, would you be open to relocating there? We offer visa sponsorship and comprehensive relocation assistance.
Do you as a candidate have a personal relationship with a current Agoda employee?
If yes, please indicate how you know the employee?
What is the employee’s name?
Have you read our Engineering blog? (https://medium.com/agoda-engineering)
Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom?
In which country/region are you currently based?
Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so.
How did you hear about this job?
Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time.
We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted.
To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.?
Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters
This role involves developing and deploying artificial intelligence solutions to solve complex business problems. You will work closely with cross-functional teams to design and implement machine learning models that drive innovation and efficiency. The position requires a strong understanding of data science principles and the ability to translate business requirements into technical specifications. You will be responsible for the full lifecycle of AI projects, from data collection and preprocessing to model training, evaluation, and deployment in production environments.
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 Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.
Due to continued expansion, **there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:**
* Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
* Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap
* Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders
**What you’ll Need to Succeed:**
* Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science)
* Excellent verbal and written communication skills in English
* 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company
* Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
* Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel
* Innate desire to take ownership, make an impact and influence outcomes
* Excellent organizational skills, attention to detail and ability to work independently
**It’s great if you have:**
* Experience in digital marketing or ecommerce
* Experience with A/B testing and other testing metrics
* Strong presentation and negotiation skills
* Skills that foster collaboration and team spirit
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#### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
### **Discover more about working at Agoda**
* Agoda Careers[https://careersatagoda.com](https://careersatagoda.com/)
* Facebook[https://www.facebook.com/agodacareers/](https://www.facebook.com/agodacareers/)
* LinkedIn[https://www.linkedin.com/company/agoda](https://www.linkedin.com/company/agoda)
* YouTube[https://www.youtube.com/agodalife](https://www.youtube.com/agodalife)
**Equal Opportunity Employer**
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 is based 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.
We will 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](https://careersatagoda.com/privacy-statement).
**Disclaimer**
We do not accept any terms or conditions, nor do we 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 to pay a recruitment fee.
## Apply Now
Analyst/Senior Analyst/Associate Manager, Marketing Analytics (Bangkok Based, relocation provided)
+1
This role is located in Bangkok, with relocation support provided. If you are not currently located in Bangkok, are you open to relocate?
Do you have professional experience with any of the analytical tools- SQL or R or Python or Tableau or PowerBI or similar?
How many years of relevant full-time experience do you have? (Excluding internship)
Do you as a candidate have a personal relationship with a current Agoda employee?
If yes, please indicate how you know the employee?
What is the employee’s name?
How did you hear about this job?
Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom?
In which country/region are you currently based?
Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so.
What are your yearly salary expectations in THB including any bonuses?
Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time.
We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted.
To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.?
Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters
By submitting your Application you confirm you have read and agreed to Agoda applicants [Privacy statement](https://careersatagoda.com/privacy-statement/).
