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senior machine learning scientist

(senior) cloud infrastructure engineer - aws · gcp · azure Jobs in Amsterdam

senior scientist

Booking.com

<div>Role Description:

This role does not come with relocation assistance 
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. 
Role and Team Overview
As a Senior Data Scientist in Ranking and Ads, you will work autonomously on impactful strategic business problems, translating them into data stories and delivering insights that inform business decisions across multiple products. The Senior Data Scientist for this team will specialise specifically in Ads. You will design and interpret experiments to guide long-term strategic decisions, build proofs of concept and prototypes, and actively manage stakeholders from operational to Director level. You'll collaborate cross-functionally with Product, Engineering, and Data Engineering teams, writing high-quality, reproducible code to ensure your work lands impactfully and enables solid decision-making across leadership. 
Ranking and Ads Insights is a new and expanding, highly commercial team providing Data Science and Analytics support within Marketplace. Our mission is to power Ads across Booking.com and support Ranking ML teams to show the right properties to the right people. 
Our work enables partners to reach travelers at the perfect moment while preserving customer experience and driving commercial impact. This is a unique opportunity to apply your business awareness to high-stakes initiatives, ensuring your work not only solves complex data problems but actively shapes the strategy for the Ads part of our scope in particular. 
You&rsquo;ll work in a cross-functional team alongside Machine Learning, Data Engineering, and Data Management to support our product vision. Strong commercial acumen and stakeholder management will ensure that your work is impactful and drives business results. 
To get a flavor of the Data Science &amp; ML work at Booking, check out our blog here. 
Key Job Responsibilities and Duties<ul><li>
Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.</li><li>
Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.</li><li>
Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.</li><li>
Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.</li><li>
Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.</li><li>
Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.</li><li>
Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.</li><li>
Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.</li><li>
Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.</li><li>
Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.</li><li>
Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.</li><li>
Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable of the goals of their wider area (ie. Business Unit).</li><li>
Responsible for ensuring quality of their own work by validating it through peer review.</li><li>
Responsible for influencing business decisions within their wider area (ie. track / vertical).</li><li>
Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.</li></ul> 
Role Qualifications and Requirements<ul><li>
Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them</li><li>
Expertise in experimentation and knowledge of causal inference beyond A/B testing</li><li>
Expertise in SQL, Python and familiarity with other languages like R</li><li>
Experience building libraries/modules in python</li><li>
Familiarity with apis using is good, building/maintaining is great</li><li>
Strong understanding of fundamental machine learning concepts</li><li>
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance<ul><li>
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave</li><li>
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)</li><li>
A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office</li><li>
Commuting allowance and bike reimbursement scheme</li><li>
Discounts &amp; Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends &amp; family Booking.com discount vouchers</li><li>
Free access to online learning platforms, development and mentorship programs</li><li>
Global Employee Assistance Program, free Headspace membership</li></ul> 
Inclusion at Booking.com:
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
 Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process<ul><li>
The interview process will entail a call with one of our Recruiters and a total of 3 interviews, all conducted via Zoom video conferencing.</li><li>
This role does not come with relocation assistance.</li></ul> 
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>

Senior Data Scientist - Ranking and Ads Insights

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 109606</div></div></div></div><div></div><div><ul><div>
Amsterdam</div><div>
Brussels</div><div>
Lisbon</div><div>
Madrid</div></ul></div><div></div><div><div><div> 
</div></div></div></div><div>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.<div>
YOUR IMPACT<div><div>
You will leverage your creativity and problem-solving skills to tackle clients&rsquo; most pressing issues using an analytical lens, meeting client needs and communicating your work to executive audiences.
Client counterparts span a wide range of audiences and functions from treasury and risk professionals, marketing &amp; sales teams, procurement category managers, to high-level stakeholders (e.g., CFO). When working internally, you will build innovative algorithms and products (what we call &ldquo;IP development&rdquo;) to best meet our most common client needs, from building price forecasting models for commodities markets, to brainstorming and developing new offers and solutions to support future clients. You will also work with our engineers to design new interfaces to deliver faster, more impactful insights to our clients.
Your work on the team will primarily be in applying advanced analytics to enable better commodity risk management decisions. For example, you might work as the lead in maintaining and expanding existing hedging strategies by re-training existing models through process driven approaches. You might also modify and improve algorithm performance across market regimes, by introducing new features, data sources, and modelling approaches; rapidly identify opportunities for our clients to increase earnings potential and reduce downside risk by back testing various risk management strategies; co-build bespoke tools with client data science teams that tailor machine-learning algorithms to attain an optimal balance of earnings and volatility given clients&rsquo; risk appetite and capital constraints; and/or collaborate with and train cross-functional client teams to instill long-lasting capabilities and ensure new decision-making models are embraced by organizations.
You will receive best-in-class training in structuring business problems and serving as a client adviser and have opportunities to work closely with and learn from our senior commodity and risk practitioners, as well as industry players that are shaping the future of commodity markets and trading. You will get access to unparalleled career acceleration, with a huge amount of ownership and responsibility from the get-go in a collaborative, diverse, non-hierarchical environment. You will get the opportunity to travel to client sites, locally and around the world (once travel resumes). Lastly, you will be able to provide direct and measurable impact to some of the largest organizations in agribusiness, materials, energy, industrial, and consumer foods sectors around the globe.
As a member of the Commodity Analytics team, you will be based in one of the following offices: Brussels, Amsterdam, Madrid or Lisbon. You&rsquo;ll work closely with McKinsey&rsquo;s Commodity Trading Service Line to support clients across sectors and geographies.
Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.
The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.
Our Risk Practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk.</div></div></div><div>
YOUR GROWTH<div>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.</li></ul></div></div></div></div></div><div><div><div>
YOUR QUALIFICATIONS AND SKILLS<div><div><ul>
Undergraduate degree is required; Advanced degree in a quantitative discipline (computer science, applied mathematics, economics, quantitative finance, engineering) or equivalent practitioner experience is preferred
2+ years&rsquo; experience in commodity markets developing market research, trading, or hedging/risk management strategies such as netback/deal economics, signal backtesting, stress testing, and/or hedge effectiveness is preferred but not required
2+ years&rsquo; experience in physical/cash markets of metals, power/electricity markets, natural gas, crude oil, refined products, and/or ocean freight is preferred but not required
2+ years&rsquo; experience applying time series analysis of mean-reverting and cointegrated commodity prices/premiums (e.g., ARIMA, VECM, GARCH),supervised learning (e.g., SVM, LSTM, parallel or sequential tree-based models), unsupervised learning (e.g., PCA, K-means clustering), optimization (e.g., LP/MILP and stochastic models), and/or NLP sentiment analysis is preferred but not required
6+ months&rsquo; experience with LLM-based analytics in enterprise settings (e.g., document/comms extraction, RAG, evaluation/guardrails) is preferred but not required
Experience integrating data science and/or automation workflows with CTRM/ETRM systems via API is preferred but not required
Experience automating middle/back-office processes with PRA and LLMs (e.g., pre-trade KYC/credit, trade execution, compliance, logistics, trade settlement) is preferred but not required
Production-quality Python for model development, including optimization, time series forecasting, feature engineering, backtesting, and evaluation using standard DS toolkits (e.g., pandas, scikit-learn, statsmodels, gradient boosting, etc.) is required
Familiarity with pytest and reproducible research workflow; experience operationalizing models: versioned experiments, CI/CD, model monitoring and drift detection, and collaboration with engineering on APIs and model/solution design is required
Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets is required
Ability to explain commodity market nuances and/or complex analytics approaches and results in layman&rsquo;s terms to executive audiences across commodity trading, operations, supply chain / logistics, and finance / accounting functions is required</ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Senior Data Scientist - Commodity Trading and Risk Management

<div>Role Description:

At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world. 
We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam. 
About the team:
The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys. 
Role Description:
As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers. 
Key Job Responsibilities and Duties:<ul><li> 
Explore and apply state-of-the-art techniques in multimodal machine learning.</li><li>
Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..</li><li>
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).</li><li>
Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.</li><li>
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.</li><li>
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.</li></ul>
Role Qualifications and Requirements:<ul><li>
Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.</li><li>
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.</li><li>
Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).</li><li>
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.</li><li>
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).</li><li>
Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels</li><li>
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:<ul><li>
Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.</li><li>
Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.</li><li>
Be part of a truly international fast paced environment and performance driven culture.</li><li>
Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.</li><li>
Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.</li><li>
Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.</li><li>
Diverse and creative colleagues from every corner of the world.</li><li>
Health, life, and disability insurance*</li><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).</li><li>
Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.</li><li>
Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership</li></ul>
#ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</div>

Senior Machine Learning Scientist

<div>
 At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam.
 
 
 
 
 About the team:
 
 
 
 The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
 
 
 The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
 
 
 This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys.
 
 
 
 Role Description:
 
 
 
 As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
 
 
 
 Key Job Responsibilities and Duties:
 
 
 
 <ul>
 <li>
 Explore and apply state-of-the-art techniques in multimodal machine learning.
 </li>
 <li>
 Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..
 </li>
 <li>
 Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
 </li>
 <li>
 Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.
 </li>
 <li>
 Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
 </li>
 <li>
 Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
 
 
 
 </li>
 </ul>
 
 Role Qualifications and Requirements:
 
 
 
 <ul>
 <li>
 Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.
 </li>
 <li>
 Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
 </li>
 <li>
 Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.
 </li>
 <li>
 Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
 </li>
 <li>
 Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
 </li>
 <li>
 Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
 </li>
 <li>
 Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
 </li>
 <li>
 Excellent English communication skills, both written and verbal.
 </li>
 <li>
 Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
 </li>
 <li>
 Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators
 
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks: Global Impact, Personal Relevance
 
 
 
 Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
 
 
 <ul>
 <li>
 Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
 </li>
 <li>
 Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.
 </li>
 <li>
 Be part of a truly international fast paced environment and performance driven culture.
 </li>
 <li>
 Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.
 </li>
 <li>
 Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.
 </li>
 <li>
 Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.
 </li>
 <li>
 Diverse and creative colleagues from every corner of the world.
 </li>
 <li>
 Health, life, and disability insurance*
 </li>
 <li>
 Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
 </li>
 <li>
 Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
 </li>
 <li>
 Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
 </li>
 <li>
 Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
 
 
 
 </li>
 </ul>
 
 #ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
 
 
 
 Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
 
 
 Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 
 
 We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
 
 
 
 Pre-Employment Screening
 
 
 
 
 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.
 
</div>

<div>Role Description:
<h2 class="jobSectionHeader">About Us</h2>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.<h2 class="jobSectionHeader">
About the team</h2>
This opening is for the ABU ML team within Margin Management of the Accommodation Business Unit (ABU).
The ABU ML team develops causal machine learning systems that power one of Booking.com&rsquo;s biggest customer acquisition channels. We predict which promotional investments will drive genuinely incremental demand and deploy these models in production at scale. The work involves uplift modeling, causal inference under marketplace interference, neural network design for structured data, and rigorous online experimentation.
The team actively contributes to the research community, our recent work &ldquo;Converted Data is All You Need for Causal Optimization of e-Commerce Promotions&rdquo; was published at ACM CIKM 2025. We encourage publishing and conference participation when the work advances the state of the art.<h2 class="jobSectionHeader">
Role Description</h2>
As a Senior Machine Learning Scientist, you will design, build, and deploy uplift models and causal inference systems that allocate promotional spend across Booking.com&rsquo;s accommodation marketplace. The role combines causal methodology, neural network architecture design, and production ML &mdash; with your work validated through large-scale A/B experiments. There are opportunities to publish applied research at top venues when the work contributes novel methodology.<h2 class="jobSectionHeader">
Key Job Responsibilities and Duties:</h2><ul><li>
Design and deploy uplift models that estimate heterogeneous treatment effects, optimising incremental return on investment under budget constraints.</li><li>
Design and execute causal inference methodologies; including observational debiasing (IPW, doubly robust estimation), sensitivity analysis, and interference-aware evaluation to close the gap between offline metrics and online impact.</li><li>
Advance the team&rsquo;s neural network architectures for uplift modeling on tabular data (attention mechanisms, multi-head designs, self-supervised pretraining), balancing model expressiveness with production latency requirements.</li><li>
Research marketplace interference and cannibalization; building frameworks to measure and correct for demand shifting when partial treatment is applied across competing properties.</li><li>
Develop offline evaluation methods that reliably predict online performance, accounting for biases introduced by non-stationary treatment policies and interference effects.</li><li>
Own models end-to-end; from research through A/B experimentation to production calibration.</li><li>
Collaborate cross-functionally with ML engineers on pipeline and serving design, with data scientists on feature engineering, and with product and business stakeholders on spend strategy and ROI trade-offs.</li><li>
Actively coach and mentor less experienced team members, setting technical direction and providing guidance on causal modeling best practices.</li></ul><h2 class="jobSectionHeader">
Qualifications &amp; Skills:</h2><ul><li>
MSc or PhD (or equivalent experience) in a quantitative field such as Computer Science, Statistics, Economics, Econometrics, Operations Research, Mathematics, or Physics.</li><li>
Relevant professional or academic experience applying Machine Learning to business problems (typically MSc + 4 years, or PhD + 2 years).</li><li>
Advanced knowledge and experience in Causal Inference, Uplift Modeling, or Treatment Effect Estimation. Experience with heterogeneous treatment effects, interference / spillover effects, or policy learning is highly valued.</li><li>
Proven track record designing and executing end-to-end R&amp;D plans, and generating measurable impact through large-scale ML model development. Evidence such as peer-reviewed publications, patents, or open-source contributions is a plus.</li><li>
Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch, LightGBM, XGBoost).</li><li>
Solid understanding of experimental design, A/B testing, and statistical methodology &mdash; including awareness of SUTVA violations, selection bias, and observational study limitations.</li><li>
Experience working with large-scale data systems and production ML pipelines (Spark, Airflow, or similar).</li><li>
Experience with neural network design for structured/tabular data (embeddings, attention, multi-task architectures) is a strong plus.</li><li>
Experience collaborating cross-functionally with developers, analysts, product managers, and other scientists to deliver ML-powered products.</li><li>
Excellent English communication skills, both written and verbal. Ability to communicate complex causal reasoning clearly to both technical and non-technical audiences.</li><li>
Successfully driving technical initiatives and cross-team collaboration while communicating with stakeholders at all levels.</li></ul> 
Benefits &amp; Perks - Global Impact, Personal Relevance:
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li></ul> 
Inclusion at Booking.com:
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>

Senior Machine Learning Scientist - ABU

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

Data Scientist

Solid Professionals

<div>
 
 
 Introduction
 
 
 
 As a GenAI Data Scientist, you will develop and implement AI solutions that help organizations improve decision-making, operational efficiency, and risk management. You will work in complex corporate environments where business, data, and technology come together to solve challenging problems. In this role, the focus is on creating Generative AI solutions that deliver measurable business value within highly regulated environments.
 
 
 
 
 
 
 Your role
 
 
 
 As a GenAI Data Scientist, you will be responsible for designing, developing, and implementing Generative AI solutions that support complex business processes. You will translate business challenges into practical AI applications and contribute throughout the entire lifecycle, from identifying opportunities and preparing data to building, testing, and deploying solutions into production.
 
 
 
 
 
 You will work extensively with unstructured data and Large Language Models (LLMs). This involves evaluating different models, architectures, and implementation approaches to determine the most suitable solution for a given use case. Topics such as Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), agentic workflows, and AI evaluation frameworks will be central to your work.
 
 
 
 
 
 Within multidisciplinary teams, you will collaborate closely with business stakeholders, data professionals, and IT specialists. Depending on your experience level, you may focus on developing specific AI solutions or take a leading role in shaping architecture decisions, best practices, and the broader AI roadmap. The emphasis is on building solutions that move beyond experimentation and deliver real impact in production environments.
 
 
 
 
 
 
 What we are looking for
 
 
 <ul>
 <li>
 A completed Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 At least 3 years of relevant experience as a Data Scientist
 </li>
 <li>
 Strong experience with Python and the development of machine learning and AI solutions
 </li>
 <li>
 Experience with Generative AI, Large Language Models (LLMs), and GenAI use cases
 </li>
 <li>
 Knowledge of frameworks and concepts such as RAG, NLP, LangChain, DSPy, agents, or similar technologies
 </li>
 <li>
 Experience working with and transforming unstructured data
 </li>
 <li>
 Experience with cloud platforms, preferably Azure
 </li>
 <li>
 Knowledge of Git, data engineering concepts, and IT architecture
 </li>
 <li>
 Experience working in Agile environments and multidisciplinary teams
 </li>
 <li>
 Experience within financial services, FEC, KYC, CDD, or AML
 </li>
 <li>
 Strong English communication skills
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 Through Solid Professionals, you will work on one substantive assignment with one client at a time. You will be employed by us for the duration of that assignment. This provides focus and clarity, with a single assignment and an employment contract aligned to the duration of the engagement.
 
 
 
 
 
 
 What you can expect
 
 
 <ul>
 <li>
 A competitive salary aligned with your experience
 </li>
 <li>
 Challenging assignments within complex financial environments
 </li>
 <li>
 Opportunities for professional growth and specialization
 </li>
 <li>
 About Solid Professionals
 </li>
 </ul>
 
 
 
 
 Solid Professionals connects finance, risk, data, and IT professionals with organizations where quality and expertise are central. We combine strong assignments with personal guidance and actively support you in taking the next step in your career.
 
</div>

Data Scientist GenAI

Explore 76+ Senior scientist in Amsterdam this July. Find roles across top companies and apply now to boost your career.

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