data analyst

RP Group

<div>About the role:
In this pivotal role, you will act as a bridge between business and IT, translating business needs into effective BI solutions using a variety of analysis and reporting tools. You will work closely with key stakeholders to understand and leverage Landal&rsquo;s datasets, establish standards and templates, and promote best practices across the organization. 
 
Develop and maintain high-quality analytics data models, BI reports, and semantic layers that power data-driven decisions across Finance, Commerce, and Operations. The Analytics Engineer works hands-on in Databricks, DBT, and Power BI to translate raw data into reliable, well-documented assets contributing to our Customer 360 initiative, marketing attribution models, and cost-to-LTV analytics under the guidance of the Lead Analytics Engineer.
What will you do:
As a Analytics Engineer at Landal, you will play a key role in bridging the gap between business and IT, helping our organization make data-informed decisions at both strategic and tactical levels.
In this role, you will:<div><ul><li>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</li></ul></div><div><ul><li>
Help integrating customer touchpoints across marketing, commerce, and operations.</li></ul></div><div><ul><li>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</li></ul></div><div><ul><li>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</li></ul></div><div><ul><li>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</li></ul></div><div><ul><li>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</li></ul></div><div><ul><li>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</li></ul></div><div><ul><li>
Proactively monitor data accuracy and flag integrity issues in analytical models.</li></ul></div>
This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization&rsquo;s data-driven decision-making.
Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.
This is you:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;</li><li>A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;</li><li>Ideally you have some understanding of AI applied analytics, such as Databricks Genie;</li><li>Proven experience in querying, analyzing, and managing large datasets;
</li><li>Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;
</li><li>Strong experience in dashboard development and data visualization, with understanding of data relationships;
</li><li>SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;
</li><li>Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;
</li><li>Analytical skills for interpreting critical and complex data sets.</li></ul>
Come work with us, as this is what we offer!<div><div><div><div>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:<ul><li>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</li><li>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</li><li>
A bonus scheme.</li><li>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</li><li>
Flexible working hours and the possibility of (partly) working from home.</li><li>
Working from home allowance of &euro;2,40 per home working day.</li><li>
A travel allowance in accordance with the Landal travel allowance scheme based on &euro;0,23 cents per km. If you decide to travel by public transport, your travel costs will be 100% reimbursed.</li><li>
Training and education options.</li><li>
Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half.</li><li>
Possibility of paid additional maternity and parental leave.</li><li>
Various group insurance policies, including free continuous travel insurance for you and your family.</li><li>
A favorable staff booking scheme.</li></ul><ul><li>A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.</li></ul></div></div></div></div></div><div></div>

Data Analyst

Yellowgrape

<div><div><div><div><h2 class="jobSectionHeader">Van voorspelling naar impact: bouw modellen die marketing slimmer maken.</h2></div><div>
&ndash; To be considered for this role, you must already live in the Netherlands. Unfortunately, we are not able to support relocation or applications from abroad &ndash;
&zwj;Ben jij in staat om grote hoeveelheden data om te zetten in waardevolle inzichten? Heb je ervaring met het ontwikkelen van voorspellende modellen en het automatiseren van analyses? Dan hebben wij d&eacute; perfecte job voor jou bij Yellowgrape!
Als Data Scientist speel je een sleutelrol in het ontdekken en voorspellen van trends, gedrag en behoeften. Je werkt aan onderwerpen als Marketing Mix Modelling, attributiemodellering en incrementality testing. Soms betekent dat een model bouwen. Soms betekent het juist dat je een complexe analyse terugbrengt naar &eacute;&eacute;n kraakheldere keuze: doorgaan, bijsturen of stoppen.
Met jouw expertise voeg je waarde toe aan diverse use cases. Je werkt nauw samen binnen het Data &amp; Intelligence team met data consultants, -analysten en -engineers om geavanceerde oplossingen te ontwikkelen die zowel de effici&euml;ntie verhogen als de impact van marketingcampagnes maximaliseren. Bij Yellowgrape krijg je de kans om je stempel te drukken op innovatieve projecten en bij te dragen aan het succes van onze klanten.</div></div></div>
<div><div><div><h2 class="jobSectionHeader">
Waar jij blij van wordt in je rol</h2></div><div><ul><li>
Marketing Mix Modelling om de impact van kanalen en budgetverdeling beter te begrijpen;</li><li>
Attributiemodellering, zodat we verder kijken dan last-click en omzetwaarde eerlijk te verdelen over touchpoints heen;</li><li>
Incrementality testing om te toetsen welke campagnes, kanalen of experimenten aantoonbaar extra waarde opleveren;</li><li>
Predictive analytics voor onder meer klantwaarde, churn, herhaalaankoop en groeikansen;</li><li>
Heldere analyses en visualisaties die marketeers, strategen en klanten direct kunnen gebruiken.</li></ul></div></div></div>
<div></div><div><div><div><h2 class="jobSectionHeader">Zo pas jij goed in deze rol</h2></div><div><ul><li>
Minimaal 2-3 jaar ervaring als Data Scientist, Data Analyst met modelleringsfocus of relevante werkervaring met statistiek of econometrische modellen;</li><li>
Je comfortabel werkt met Python, SQL en data-analyse;</li><li>
Marketingdata interessant vindt en snapt dat context net zo belangrijk is als techniek;</li><li>
Kritisch kijkt naar aannames, datakwaliteit en meetbaarheid;</li><li>
Helder communiceert met zowel technische als niet-technische collega&rsquo;s;</li><li>
Energie krijgt van samenwerken in multidisciplinaire klantteams.</li><li>
Je hebt ervaring met cloud platforms (bij voorkeur Google Cloud-stack);</li><li>
Bekend met Bayesian modelling of andere statistische methoden</li><li>
Vloeiend in Nederlands en Engels (zowel mondeling als schriftelijk);</li><li>
Je wilt graag werken in een organisatie die door cultuur wordt gedreven;</li><li>
Je kijkt ernaar uit om te werken in een betrokken team;</li><li>
Je bent in staat om problemen te identificeren, bespreekbaar te maken en op zoek te gaan naar oplossingen;</li><li>
Je bent minimaal 32 uur per week beschikbaar.</li></ul></div></div></div>
<div><div><div><h2 class="jobSectionHeader">Wat jij van ons mag verwachten</h2><h2 class="jobSectionHeader">
Je zoekt geen baan, je zoekt een plek waar je werk ertoe doet &eacute;n je jezelf kunt zijn. Hier is wat je bij ons mag verwachten.</h2></div><div><ul><li>
Je werkt vanuit ons gezellige kantoor in Amsterdam of Berlijn, beide in het bruisende hart van de stad;</li><li>
Via ons exchange programma kun je tijdelijk switchen tussen Berlijn en Amsterdam, een unieke kans om cultuur en werkervaring te combineren.</li></ul><h5 class="jobSectionHeader">
Groeien als professional &eacute;n als mens</h5><ul><li>
Jij krijgt de ruimte: veel verantwoordelijkheid, vertrouwen en de vrijheid om zelf initiatief te nemen;</li><li>
We coachen je op zowel persoonlijke groei als competentieontwikkeling, zodat je steeds dichter bij je volle potentieel komt;</li><li>
Je werkt met het TMA Talentmanagement programma, waarbij we jouw aangeboren drijfveren en talenten inzetten om jou elke dag in je kracht te zetten;</li><li>
Er zijn volop opleidingsmogelijkheden om te blijven groeien in jouw vakgebied.</li></ul><h5 class="jobSectionHeader">
Een eerlijk salaris &amp; transparante voorwaarden</h5><ul><li>
Je ontvangt een eerlijk en transparant salaris op basis van het Baarda beloningsmodel, afgestemd op je toegevoegde waarde;</li><li>
Amsterdam: 25 vakantiedagen + 8% vakantietoeslag;</li><li>
Berlijn: 28 vakantiedagen;</li><li>
Een Apple MacBook in bruikleen voor je dagelijkse werk;</li><li>
Reiskostenvergoeding en een pensioenregeling, afhankelijk van je standplaats (Amsterdam of Berlijn).</li></ul><h5 class="jobSectionHeader">
Fit, gefocust en vol energie</h5><ul><li>
Elke dag een verse, gezonde lunch op kantoor;</li><li>
Goede koffie? Die komt van een lokale branderij uit Amsterdam: ambachtelijk gebrand en altijd vers</li><li>
Blijf fit met ons sportschool abonnement of doe mee via het fietsplan.</li></ul><h5 class="jobSectionHeader">
Samen werken, samen vieren</h5><ul><li>
We zijn een gecertificeerd 'Excellent Workplace' door 2DAYSMOOD en daar zijn we trots op;</li><li>
Vrijdagmiddagborrels, feestjes op de Yellowgrape-sloep en inspirerende teamuitjes zorgen voor verbinding en plezier;</li><li>
We werken volgens onze eigen holacratische werkwijze: de Yellowcratie. Dat betekent veel autonomie, duidelijke rollen en samenwerken op basis van vertrouwen in plaats van hi&euml;rarchie.</li></ul></div></div></div></div>

Data Scientist

Elsevier

<div>Product Analyst
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products.
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands.
Responsibilities:
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight.
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics.
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes.
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful.
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions.
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable.
Requirements:
Product Analytics Experience
A minimum of 3-5 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you.
Technical Proficiency
SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful.
Stakeholder Influence
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes.
Communication And Collaboration
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones.
Growth Mindset
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 
<ul><li>
 
</li></ul>About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.
Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;40,400 - &euro;67,400. This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Shared Technology Product Analyst

Vinted

<div>
 
 Brief Info About Vinted
 
 
 
 Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life &ndash; or even a third.
 
 
 The Vinted Group is made up of three business units that support this mission:
 
 
 
 Vinted Marketplace
 
 is Europe&rsquo;s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
 
 
 
 Vinted Go
 
 enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
 
 
 
 Vinted Pay
 
 is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
 
 
 Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
 
 
 
 Information About The Position
 
 
 
 Vinted&rsquo;s
 
 Marketing domain
 
 is growing - we&rsquo;re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from
 
 winning the USA market
 
 to expanding beyond fashion into a
 
 multi-vertical platform
 
 .
 
 
 We&rsquo;re looking for 2 x
 
 Data Scientists
 
 to join our
 
 Marketing Modelling Intelligence
 
 team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.
 
 
 
 In this position, you&rsquo;ll
 
 
 
 <ul>
 <li>
 Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
 </li>
 <li>
 Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
 </li>
 <li>
 Automate Model Validation &amp; Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
 </li>
 <li>
 Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
 </li>
 <li>
 Partner Decision Scientists &amp; Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
 </li>
 <li>
 Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
 </li>
 <li>
 Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
 </li>
 <li>
 Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
 </li>
 <li>
 Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
 </li>
 <li>
 Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
 </li>
 <li>
 Educational Background: A Master&rsquo;s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
 </li>
 <li>
 Impactful storyteller: A charismatic and confident presenter who navigates any topic&rsquo;s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.
 
 
 </li>
 </ul>
 
 Work perks
 
 
 
 <ul>
 <li>
 The opportunity to benefit from our share options programme
 </li>
 <li>
 25 days of paid annual leave
 </li>
 <li>
 Newest MacBook models
 </li>
 <li>
 Confidential Employee Assistance Program (EAP) for you and your family
 </li>
 <li>
 Frequent team-building events
 </li>
 <li>
 Home office support: we provide IT workstation equipment and a personal budget of up to &euro;540 for home workplace furniture
 </li>
 <li>
 Lunch benefit per working day
 </li>
 <li>
 Access to a discounted gym membership plan
 </li>
 <li>
 A personal monthly budget for shopping on Vinted
 </li>
 <li>
 Collective Defined Contribution Pension plan
 </li>
 <li>
 NS Business Card for your commute to the office by public transport
 </li>
 <li>
 The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
 </li>
 <li>
 A dog-friendly office
 
 
 </li>
 </ul>
 
 Working at Vinted
 
 
 
 
 Individual Learning Budget
 
 
 
 We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
 
 
 
 Hybrid Work
 
 
 
 We&rsquo;ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It&rsquo;s up to you and your team to decide on the exact days you&rsquo;ll spend working together in person.
 
 
 
 Equal Opportunity
 
 
 
 The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
 
 
 The annual gross salary range for this position is:
 
 
 &euro;53.900&mdash;&euro;91.500 EUR
</div>

Data Scientist, Marketing Modelling Intelligence

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

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>

SoTalent

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
 </li>
 <li>
 Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
 </li>
 <li>
 Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
 </li>
 <li>
 Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
 </li>
 <li>
 Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
 </li>
 <li>
 Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
 </li>
 <li>
 Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
 </li>
 <li>
 Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
 </li>
 <li>
 Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 Skills &amp; Experience
 
 <ul>
 <li>
 Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
 </li>
 <li>
 Strong Python programming skills with experience writing clean, well-tested and maintainable code.
 </li>
 <li>
 Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
 </li>
 <li>
 Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
 </li>
 <li>
 Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
 </li>
 <li>
 Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
 </li>
 <li>
 Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
 </li>
 <li>
 Excellent communication and collaboration skills with experience working across multidisciplinary teams.
 </li>
 </ul>
 
 What's on Offer
 
 <ul>
 <li>
 Flexible working arrangements supporting work-life balance.
 </li>
 <li>
 Hybrid working environment.
 </li>
 <li>
 Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
 </li>
 <li>
 The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
 </li>
 <li>
 A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
 </li>
 <li>
 Competitive salary and comprehensive benefits package.
 </li>
 </ul>
 
 If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 
</div>

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