data scientist

analytics engineer

consultant | data engineer Jobs in Amsterdam

consultant | data engineer

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data & ml infrastructure engineer

data analyst / analytics engineer Jobs in Amsterdam

data analyst / analytics engineer

data analyst

Insify

<div>
 
 About Insify
 
 
 We are a high-growth scale-up backed by &euro;43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. While we started our journey five years ago in the Netherlands, we have since expanded into France and Germany, and we&rsquo;re just getting started. Our mission is to dominate the European market and become a global leader in AI-powered SME insurance.
 
 
 We aren't just building a company; we&rsquo;re leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.
 
 
 Our founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.
 
 
 We're looking for a highly motivated
 
 Analytics Engineer
 
 who will work closely with Product and Insurance departments to bring instant, tailored and affordable financial safety products to entrepreneurs.
 
 
 
 What you'll be up to (some examples):
 
 
 
 <ul>
 <li>
 Define and calculate KPIs for product and feature launches to track our trajectory toward 10x simplicity
 </li>
 <li>
 Identify opportunities and provide data-driven recommendations that influence our roadmap
 </li>
 <li>
 Answer analytical questions and analyse A/B tests to ensure we draw the right conclusions from every experiment
 </li>
 <li>
 Create and maintain interactive dashboards (using Databricks and QuickSight) for real-time metrics monitoring
 </li>
 <li>
 Contribute to the data transformation code base (using dbt and Git) to ensure our data infrastructure is as modern as our software
 </li>
 <li>
 Own outcomes within your scope &mdash; from problem definition to delivery
 </li>
 <li>
 Operate in ambiguity and make decisions without perfect information
 </li>
 <li>
 Collaborate closely with colleagues across functions to bridge the gap between "the floor" and "the lab."
 </li>
 <li>
 Improve how we work by spotting inefficiencies in our data workflows and proposing better ways
 </li>
 <li>
 Balance speed and quality in a fast-moving environment
 
 
 
 
 </li>
 </ul>
 
 This role is a strong fit if you:
 
 
 
 <ul>
 <li>
 Have excellent SQL skills: You can calculate any metric in a readable and efficient way
 </li>
 <li>
 Are proficient with dashboarding and code tools: You have experience with tools like Databricks, QuickSight, and Git to organise your work
 </li>
 <li>
 Understand the "Why": You have a strong grasp of Statistics and A/B testing to draw meaningful conclusions
 </li>
 <li>
 Possess a growth mindset: You have a passion for continuous learning and seeking feedback to drive personal growth
 </li>
 <li>
 Take ownership naturally: You don&rsquo;t wait for perfect instructions and thrive in the "grey area"
 </li>
 <li>
 Can turn messy problems into clear, actionable plans: You are hyper-organised and process-obsessed
 
 
 
 
 </li>
 </ul>
 
 This role is not for you if:
 
 
 
 <ul>
 <li>
 You are looking for a strict 40-hour work week
 </li>
 <li>
 You need fully defined scopes and stable priorities to perform well
 </li>
 <li>
 You prefer staying high-level and avoiding hands-on execution
 </li>
 <li>
 You expect long ramp-up periods before taking ownership
 
 
 
 
 </li>
 </ul>
 
 We offer:
 
 
 
 <ul>
 <li>
 Competitive compensation that reflects responsibility and impact
 </li>
 <li>
 Trust and autonomy: you&rsquo;ll have real ownership and room to make decisions Space to grow and shape your role as Insify evolves
 </li>
 <li>
 A steep learning curve, with support from experienced teammates
 </li>
 <li>
 The opportunity to share in what we&rsquo;re building, with equity for eligible roles once there&rsquo;s mutual conviction on fit and impact
 </li>
 <li>
 A welcoming, central Amsterdam HQ where we work closely together: shared lunches, dogs in the office, whiteboards, and fun end-of-week drinks
 </li>
 <li>
 An international, ambitious team that enjoys building meaningful things together
 
 
 </li>
 </ul>
</div>

Data Analyst / Analytics Engineer

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

Invest-NL N.V.

<div>We believe the Netherlands needs to become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL exists to finance and support them. We do this with courage, decisiveness, and enthusiasm. Will you join us?
For the Invest-NL data team, we are looking for a working student who will help our data scientist for advanced analytics projects, and our development team for building our data platform, which will be the single source of truth for reporting and BI.
The data team is still growing and currently consists of six team members including a teamlead, a data scientist, a data engineer, a BI analyst, a PowerBI developer, and a working student.
This is what you will do
As a working student in the data team, you will be directly involved in data analytics and product development projects, under the supervision of our data scientist and data engineer. The responsibilities include:<ul><li>
Assist in the design, implementation and validation of data analytics projects for business stakeholders;</li><li>
Helping with the development of the internal data platform and infrastructure;</li><li>
Collaborate with other colleagues (such as business developers or investment managers) and external parties (such as industry experts) to better understand their requirements.</li></ul> 
Qualifications<ul><li>
Strong foundation in data science concepts;</li><li>
Experience with Python programming;</li><li>
Hands on experience with LLM API/MCPs;</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical colleagues;</li><li>
Strong foundation in data engineering, including SQL, ELT, ETL concepts;</li><li>
Experience with Databricks &amp; GitHub, experience with Streamlit is a plus;</li><li>
Basics in data modelling understanding.</li><li>
Basic understanding of cloud concepts (Azure/AWS/GCP);</li><li>
Ability to work collaboratively in a scrum team environment;</li><li>
Previous experience with project work or internships related to data science or engineering is a plus;</li><li>
Fluent in spoken and written English. (Dutch is a plus).</li></ul>
We offer
As a Working Student within the Data team at Invest-NL, you will work together with a passionate team on building a better future. You can count on a pleasant and open working environment, inspiring work, and plenty of room to develop yourself. Our employment conditions are also attractive:<ul><li>
Salary: &euro;2,400 per month based on a 36-hour workweek;</li><li>
Flexible compensation: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek);</li><li>
Leave: Attractive and flexible leave arrangements;</li><li>
From A to Sustainable: Sustainable mobility policy, including private use of public transport;</li><li>
For the future: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%);</li><li>
Room for social impact: Up to 2 Impact Days per year for volunteer work during working hours;</li><li>
And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).</li></ul>
Are you the one we&rsquo;re looking for?
We would love to receive your application before July 6, 2026! Do you have any questions? Please contact Lucas Erkens at (lucas.erkens@invest-nl.nl). Our selection process consists of two interview rounds. You will receive a response within two weeks after the closing date. We reserve the right to close the vacancy earlier as soon as enough suitable applications have been received.
Invest-NL aims to be an attractive employer for diverse talent that wants to make a difference. We foster a team where you can be yourself, where everyone has equal opportunities, and where people can reach their full potential, regardless of gender, background, age, disability, religion, or sexual orientation. Diverse perspectives and backgrounds make us stronger. This helps us stay connected to society and strengthens our collective thinking power.
Screening is part of the application process and will take place after agreement on employment conditions has been reached.</div>

Working Student Data (24-hours)

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

LOGEX

<div>Our Mission
LOGEX is a leader in healthcare analytics, transforming complex data into actionable insights that help organizations make better decisions and improve outcomes.
You will be part of the internal Data Warehouse (DWH) team, a newly established team within LOGEX that will initially consist of around 5 team members. This team represents a new domain within the organization, focused on building and centralizing our internal data foundation.
The team is responsible for designing, developing, and maintaining the internal data warehouse and ensuring consistent, reliable, and scalable data across all business domains. This includes enabling reporting and analytics for functions such as Finance, Product and Tech, Sales, HR, and Customer Office.
Our goal is to create a single source of truth that supports LOGEX in making data-driven decisions. This ranges from financial and operational reporting to performance insights, forecasting, and strategic decision-making. By building a strong and future-proof data foundation, the team plays a key role in improving internal processes, increasing transparency, and supporting the continued growth of LOGEX.
As an Analytics Engineer, you play a key role in building and scaling our data platform. You design and maintain robust data pipelines, integrate data from multiple sources into our data warehouse, and develop reliable data models in Snowflake. You ensure that our data is accurate, accessible, and performs at a high standard, enabling business teams to make data-driven decisions.
You work closely with both technical and business stakeholders to understand how data supports processes and outcomes, translating these needs into scalable solutions. At the same time, you contribute to improving our overall data architecture and establishing best practices across the platform. With a strong passion for data, you focus on creating high-quality, future-proof solutions that drive real impact.
What you will do<ul><li>
Design and develop data models in Snowflake</li><li>
Transform and structure data into business-ready datasets</li><li>
Build and maintain data marts for reporting</li><li>
Ensure data consistency, quality, and governance</li><li>
Collaborate with Data Engineers and Data Analysts</li><li>
Support reporting and analytics in Power BI</li><li>
Translate business requirements into scalable data solutions</li></ul> 
Who we are looking for
Passion for data<ul><li>
You enjoy structuring and organizing data for analytics</li><li>
You can bridge the gap between technical and business teams</li></ul>
Experience<ul><li>
2&ndash;5+ years of experience in Analytics Engineering / BI / Data</li><li>
Strong SQL skills</li><li>
Experience with Snowflake</li><li>
Experience with Power BI</li><li>
Experience working with Excel for analysis and validation</li><li>
Experience with integration tools such as Workato is a plus</li></ul>
Mindset<ul><li>
You enjoy building something new and shaping how things are done</li><li>
You are communicative and work well with stakeholders</li><li>
You have a hands-on and entrepreneurial attitude</li></ul>
Why LOGEX?
Healthcare today is more tailored and more effective than ever before. However, with these improvements, come complexity. The burden of healthcare spending weighs heavily on economies, while the sheer number of options physicians and patients can choose from leads to uncertainty and unacceptable variations in clinical outcomes. At LOGEX, we have one superpower: data analysis. We choose to use this superpower to help address today&rsquo;s healthcare issues by turning data into better healthcare. Besides a purpose-driven workplace, we offer you:<ul><li>
An excellent compensation package (salary, holiday allowance, NS Business Card, phone and internet allowance)</li><li>
25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days</li><li>
An informal working environment with motivated colleagues</li><li>
The possibility to work in a hybrid setup</li><li>
A laptop and everything you need to set up a comfortable and ergonomic home office</li><li>
Personal and professional development opportunities through our LOGEX Academy</li><li>
Access to our mental health partner, OpenUp</li><li>
Regular after-work drinks and many more social events</li></ul>
Contact us!
You can apply via the button below and upload your CV. For more information, or in case you have any 
questions, you can contact Wesley Schreuder at Wesley.schreuder@logex.com
Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.</div>

Analytics Engineer

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