Data Scientist Ii- Flights jobs at Booking in Netherlands, Amsterdam

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• 3+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• 7+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

As a Machine Learning Scientist in Performance Marketing, your work will focus on devising and implementing advanced machine learning and optimization approaches for the next generation of Booking.com performance marketing bidding algorithms. Specifically, you will work on optimizing our bidding strategy on top of the most prominent online travel agencies, ensuring our competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms. This role requires a unique combination of deep theoretical knowledge around large-scale optimization techniques, auction theory and applying state of the art machine learning methodologies to scalable industrial setups.

Key Job Responsibilities and Duties

• Devise and develop state-of-the-art techniques for the next phase of our online bidding algorithms, including modeling user intent, modeling the online marketplaces, and optimizing our bidding strategy to maximize the efficiency of how we spend our advertising budgets.

• Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency.

• Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.

• Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different traffic siloes.

• Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of bidding applications.

• Work cross-functionally with commercial and analytics teams to align evaluation strategies with business goals and user impact.

Role qualifications and requirements

• Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics)

• Industry or academia knowledge of large scale optimisation techniques or mechanism design or auction theory.

• Proven record in devising and developing innovative machine learning and optimization solutions for large-scale business problems. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.

• Relevant work or academic experience (MSc + 4 years of working experience, or PhD + 2 years of working experience), involved in the application of Machine Learning to business problems.

• Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

• Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, Commercial, Data Analytics, etc.).

• Very strong working knowledge of Python, SQL/BigQuery, Spark

• Excellent English communication skills, both written and verbal.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide

• Working in a fast-paced and performance driven culture

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

The Streaming & Data Movement track delivers and operates the foundational services that power real-time data processing, including:

• Streaming solutions (powered by Kafka, Confluent Platform and Confluent Cloud), both on-premise and on public cloud, to our infrastructure and product development teams;

• Stream Processing Platform (powered by Apache Flink) for large-scale stream processing and event-driven applications;

• Snapshot Ingestion and Change Data Capture (CDC) for reliable, scalable, and compliant movement of data from source systems into our data ecosystem;

• Self-service APIs, developer tooling, and governance layers that ensure reliability, discoverability, and compliance at scale

As a Group Product Manager for the Streaming & Data Movement, you will shape and execute the strategy for how data flows through Booking.com. You will lead multiple product teams responsible for the ingestion, processing, and propagation of critical business data, ensuring our data infrastructure remains scalable, cost-efficient, and compliant.

Key Job Responsibilities and Duties

As a Group Product Manager for ADS - Streaming and Data Movement, you will:

• Influence decision-making at all levels of the company. Define product strategy and a multi-year roadmap for Streaming (& Flink) and Ingestion platforms, including Snapshot Ingestion and Change Data Capture, balancing innovation with resilience, cost efficiency, and compliance.

• Lead a team of Product Managers and partner closely with engineering, security, and compliance teams to deliver robust infrastructure and services.

• Own a suite of tooling, integrations and IaC templates that enable scalability, reliability, and governance for data at Booking.com.

• Drive modernisation through adoption and enablement of cloud services, ensuring smooth migration journeys and establishing a “shift left” approach to governance and quality.

• Translate business and developer needs into product initiatives, using qualitative insights, quantitative data, and stakeholder feedback.

• Evangelize modern data practices across Booking.com, ensuring teams understand how to best leverage ADS services.

• Define clear success metrics and track them regularly to ensure services are reliable, cost-effective, and meeting customer needs.

• Collaborate across departments to align data infrastructure with broader company priorities.

• Coach and grow Product Managers, ensuring excellence in product craft and leadership across your domain.

Role Qualifications and Requirements

• 6 - 9 years of directly applicable internet product management experience.

• Bachelors required. Masters in the relevant field is highly desired.

• Minimum of 2 -3 years of successfully managing and mentoring a team of product managers as direct reports.

• Strong experience in data streaming, cloud platforms, or infrastructure services at scale (Kafka, Flink, CDC, Debezium, Confluent Cloud, etc.).

• Experience managing various types of resources, making trade-offs and prioritizing as if managing your own business.

• Creativity and curiosity - A creative problem solver with a deep curiosity about our business and product.

• Excellent communication skills - Being able to communicate efficiently both strategic vision and specific details to various stakeholders, from senior leadership to individual project members. Being able to write clear and concise product requirements, status updates and product results.

• Strong analytical skills - Able to interpret data and trends, diagnose problems, and recommend effective action plans to resolve issues.

• Strong organizational and project management skills - Someone with responsibility to ensure multiple projects are completed in an appropriate and timely manner. Experience with agile methodologies is highly preferred.

• Ability to thrive to work in a fast-paced, results driven environment with multiple responsibilities.

• Strong teamwork and collaboration skills are essential.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide

• Working in a fast-paced and performance driven culture

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

A successful candidate should demonstrate:

• Technical knowledge: Solid understanding of enterprise data technology and machine learning at scale

• Risk management: Experience in developing compliance solutions which are resistant against degradation over time, are documented and can be monitored and tested

• Strategic thinking: Ability to think beyond quick wins and perceive long-term opportunities for broad-based risk reduction

• Customer centricity: Keeping the customer's best interests at heart, both in terms of the protection of their privacy as well as the usability of our products and services

• People leadership: Inspiring, coaching and supporting your team members, to allow them to excel and grow

• Cross-functional mindset: Willingness to break through silos, collaborate across teams and departments and pitch in when needed to ensure overall mission success

Key Job Responsibilities and Duties:

• Support the business with in-depth legal review, advice and guidance on data protection and data privacy issues and/or risks with any current or potential new initiatives

• Serve as the primary privacy legal SPoC for all matters arising from the Data, Technology and Customer Service functions in the company

• Lead a team that serves as the foremost experts in the privacy legal function when it comes to data governance and technology

• Lead the retention & deletion efforts at Booking.com

• Support strategic, enterprise-wide priorities to mature our data governance and privacy control landscape

• Engage with other Legal & Public Affairs teams and stakeholders to ensure the Legal function speaks with one voice

• Constantly (re)prioritize team workload to adapt to changing circumstances

• Partnering on review, advice and approval of data sharing use cases, data protection and privacy guidance, policies and procedures for the business

• Exercise people management responsibilities, such as performance management and coaching; be accountable for team performance

Qualification & Skills:

• Bachelor degree (Master’s Degree / Specialised Diploma is an advantage) and admission to practise in at least one jurisdiction
• 8-12 years experience in a reputable law firm or in-house team

• EU, UK or US law degree

• A Batchelors’ and/or Masters’ Degree, and a legal professional qualification

• Native or fluent English speaking and writing skills

• Knowledge and experience in data protection law; a CIPP/E / CIPT (or similar) certification is preferred

• A deep understanding of GDPR and the e-Privacy Directive how this applies to enterprise and consumer-facing technology; knowledge of DMA/DSA and AI Act is preferred

• Ability to be the “voice of reason” in crisis situations, to quickly respond to issues at hand and to prioritise effectively, with a “customer first” mindset

• Excellent communication skills (written and oral), attention to detail, organizational and project management skills and ability to meet deadlines, prioritising appropriately

• Adaptable, ready to embrace change in order to meet evolving business needs, work in ambiguous situations and under pressure, and learn from mistakes

• Strong ability to lead and inspire a team

• Demonstrated cross-functional project leadership and commercial acumen, with ability to balance risk with business objectives

• Experience in management of and impactful communication with senior stakeholders, effectively communicating complex ideas and projects simply and succinctly

• In-depth understanding of the data and privacy issues that commonly arise in the technology and data space, along with ability to quickly learn and grasp the importance of new and emerging issues and manage processes from inception to completion

• Strong collaborative, professional approach; able to succeed in and lead diverse, multidisciplinary, multicultural teams

• High proficiency in productivity software, and AI platform usage, with a commitment to continuous improvement.

Deadline for applications is21 November 2025.

Further traits look for:

• Alignment with Booking.com’s values (Customer First, Succeed Together, Own It, Learn Forever, Do the Right Thing).

• Curiosity, flexibility, and a creative, pragmatic approach to problem-solving.

• Confidence with collaboration.

• Ability to influence stakeholders at all levels.

• Proactivity, resilience, and a drive to deliver results.

• Strong judgment with attention to both the big picture and key details.

• Courage to take a stance and make tough decisions.

• Team-oriented, self-aware, and a good listener.

• Agility in prioritizing and meeting deadlines.

• Forward-thinking, with a focus on emerging legal and policy issues.

As a team, we believe in:

• Being integral to decision-making, shaping Booking.com’s future.

• Supporting Booking's mission to make travel accessible, fostering openness and curiosity.

• Offering opportunities for team members to explore new areas or specialize.

• Providing holistic, integrated legal and public affairs advice.

• Continuously improving Legal Operations, innovating, and sharing best practices.

• Learning from mistakes and embracing growth.

• Working collaboratively with a sense of humor and enjoying the journey together!

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application process:

• Let’s go places together:

• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Responsibilities

• Business Acumen:
• Maintain a fundamental understanding of the Booking.com business, industry news and risk best practices and apply that knowledge in the context of your core areas of responsibility.
• Critical Thinking:
• Identify and design solutions in a wide range of situations, and proactively propose concrete improvement plans.
• Objective Setting, Prioritization & Task Management:
• Independently structure and execute work, decide on priority areas and output fitting the overarching objectives and priorities. Deliver in line within agreed timelines and escalate issues to the appropriate level and roles within the organization where needed.
• Attention to Detail:
• Produce high quality, accurate output across a broad range of topics, with limited review and oversight required.
• Result Orientation:
• Work independently and proactively to deliver the right results for specific objectives and deliverables in line with personal and company values whilst influencing stakeholders in order to meet timelines and prioritize critical activities.
• Effective Communication & Presentation Skills:
• Effectively and clearly communicate and present information relating to core responsibilities, tailor messages and explain (technical) concepts to stakeholders.
• Facilitate cross-functional discussions.
• Organize and run larger meetings in a clear, structured and outcome-oriented manner.
• Stakeholder Management & Influencing:
• Independently identify, develop and grow relationships with key stakeholders to build and maintain a wide network within the coverage area, mostly at mid-level but also including key senior stakeholders for a bilateral flow of information.
• Align with stakeholders on impact beyond their team, respectfully challenging and influencing others to assume appropriate roles and responsibilities by adopting stakeholder management and influencing techniques.
• Confidently and independently navigate tricky discussions, incorporating Manager input around escalations, approach or blockers where needed.
• People Management:
• Provide constructive feedback to peers and incorporate received feedback into personal development goals.
• May provide mentoring and task oversight to more junior staff or external consultants.
• Support hiring process.
• Operational & Technical Expertise:
• Apply a comprehensive understanding to processes, systems and/or products within your coverage area.
• Display general understanding of the impact on the wider process and/or system landscape.
• Seek manager input for in-depth expertise.
• Risk Landscape Awareness:
• Maintain awareness or knowledge of the broader internal risk landscape across one or more business areas as well as external developments.
• Adopt a business need centric and user friendly approach to influence business stakeholders to take informed decisions in line with the risk capacity, risk appetite and risk tolerance of Booking.com.
• Risk & Governance Advisory:
• Provide input to the development of methodologies throughout the risk management lifecycle.
• Advice stakeholders in ongoing risk and compliance work within your dedicated area(s).
• Risk Identification & Assessment:
• Identify and appropriately assess risks in line with the team's frameworks and methodologies.
• Document risk assessment outcomes, including clear description of the risk, perceived level of risk and considerations for risk treatment, tailored to the topic at hand, with limited guidance and review required.
• Risk Treatment:
• Independently support control design and/or assurance activities and work with control owners to prepare controls for approval.
• Coordinate audit activities including support to close any control deficiencies identified.
• Work across teams/projects/BUs and ensure risks are appropriately mitigated.
• Develop, select and implement risk treatment strategies, proposing alternative risk treatment options where needed.

Communication.Stakeholder

• Process/Control owners (combination of directors, managers, team leaders and individual contributors)
• Subject Matters Experts (SME's) e.g. Finance, Fintech, Fraud, Legal, Security, etc.
• Other Internal stakeholders in Accommodations (i.a. CS, PS, Product), Trips, Finance, FinTech, Legal, Marketing, People, Strategy and Corporate Development and Technology (i.a. Security, Infrastructure)
• Internal & External Audit
• Risk & Control team

Communication.Type

• Persuasion / CooperationPartner with business stakeholders by: providing guidance and support in ongoing compliance;providing guidance and support in identifying risks and control gaps and, designing and implementing appropriate controls;providing clear instructions on expected stakeholder contributions and ensure follow up;facilitating and participating in cross functional groups for activities related to the risk management lifecycle;presenting and advising on standardized methodologies, processes and documentation;maintaining a business centric approach.
• Information and CooperationInform SMEs on:risk areas in need of SME input;control design and implementation;work closely together to share knowledge and experience.
• CooperationWork closely together to share knowledge and experience.
• Cooperation Support Internal and External audit teams to ensure that remediation plans are implemented on a timely basis for any deficiencies foundSupport SOX, PCI and other audit cycles
• Information and CooperationWork closely together to share knowledge and experience.

Communication.Frequency

• Continuous
• Continuous
• Continuous
• Continuous
• Continuous

Level of Education.Level of Education

• Bachelor degree
• Master degree

Level of Education.Description

• Alternatively compensating years of experience (3 to 5 years in addition to below)
• Preferred

Years of relevant Job Knowledge.Years of relevant Job Knowledge

• Advanced Knowledge (5 - 8 years)

Requirements of special knowledge/skills

• Qualities / Soft Skills:
• Enthusiastic, self-starting and flexible work attitude
• Ability to effectively prioritize and manage workload, work under pressure and deliver on timelines
• Handle multiple tasks, of varying and often complex content, generally at the same/similar time
• Have the ability to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
• Strongly process, problem solving and action oriented
• Curious and proactive in the assessment and challenge of risks
• Strong team player
• Advanced communication skills and ability to actively listen
• Strong relationship building skills
• High level of integrity, confidentiality & professionalism
• Requirements of special knowledge/ Hard Skills:
• Advanced (technical) understanding of and experience with Risk Management, Compliance, Internal controls , control procedures, automation, monitoring, testing, collecting evidence and remediation activities
• Experience with large e-commerce or tech companies is advantageous
• Fluent in English, both written and spoken
• CISSP, CRISC, CISM, CISA, or similar certification is advantageous
• Project management skills
• Stakeholder management skills
• For Business Officer functions:
• Advanced understanding of and experience with risk management relevant fields, for example but not limited to:
• Business analysis
• Auditing
• Corporate governance
• Finance concepts and processes
• SOx integration
• AML/ CFT framework, GDPR, PCI, SOx
• Fundamental understanding of below IT expertise fields.
• For IT Officer functions:
• Advanced understanding of and experience with risk management relevant fields, for example but not limited to:
• IT Risk management and IT Governance
• IT Security concepts and processes
• (IT) Frameworks like ITGC, COSO, NIST
• DevOps tools like Puppet, Jenkins, Git, Docker, or Kubernetes
• JIRA
• Fundamental understanding of above Business expertise fields.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Role Description:

You will play a key role to discover causal relationships in a wide variety of travel products and customers, challenge hidden assumptions and validate the robustness of conclusions to enable confident decisions at scale with real business actions.

Key Job Responsibilities and Duties:

• Responsible for fully owning the design and delivery of causal solutions based on business requirements, from idea-generation, validation, implementation to stakeholder communication. Deliver customer value with the right solutions.

• Keep a sharp eye on both the strengths and limitations of applied methodologies in real use cases. Proactively explore and research advanced statistical and causal techniques suitable for the business applications, and guide junior members as a force multiplier.

• Identify and manage stakeholders independently. Autonomously translate business challenges into proper data stories and solutions. Capable of communicating complex solutions to business stakeholders and craft peers beyond the team’s scope with in-time updates, clear visualization, accessible documentation and effective verbal language.

• Responsible for interpreting quantitative experiments and causal models to objectively guide key business decisions. Grow technical competency and spot opportunities to adopt more efficient approaches. Break down complex problems into tangible milestones to drive continuous improvements and actionable outcomes on product or strategy.

• Identify trends and behaviors from data to uncover hidden causal insights across business domains. Unlock the value of causal inference by bringing together end-to-end solutions. Learn to incorporate scalability, reproducibility and long-term orientation in the work. Embed causal techniques into the bigger picture for business takeaways and recommendations.

Qualifications & Skills:

• Experience working with dynamic project setup, multiple teams and stakeholders to align expectations and collaboration. Turning open-ended questions into clear milestones and agreed deliverables.

• Passionate in driving innovation for real applications with curious, humble and can-do attitudes.

• Proven ability to unpack real world causal questions, design modeling or experimentation solutions, and provide clear and actionable business recommendations with real influence.

• Experience to research and compare new methods and validate feasibility with real data. Clearly explain the reasoning behind technical choices, and open to peer review and discussions.

• Able to zoom in and out in problem solving. Willing to dig deep for exploration, and summarize reusable learnings and methodologies for scalable exploitation.

• Excellent communication skills for diverse audiences. Able to discuss complex technical problems in an accessible, business-friendly manner at all phases of the project.

• Proficient in handling large amounts of data and using causal model packages with Python, Snowpark, or R. Familiar with using causal packages. Produce well structured, readable and reproducible high quality code.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.