Data Scientist - Growth Analytics

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth driven by our exceptional product and technology teams, fostering an unparalleled user experience for travelers worldwide.As a Data Scientist specializing in experimentation, you will be an integral part of our Growth & Marketing department. Collaborating closely with the Head of Growth, you will spearhead our experimentation practices and analyses, working alongside product managers, marketing teams, designers, and engineers. Your efforts will empower Polarsteps to make informed, data-driven decisions at scale.With over 20 million users and outstanding app store ratings of 4.8 and 4.7, along with features in several Google and Apple showcases, our journey thus far has been impressive. However, we are even more enthusiastic about the future, and you will play a pivotal role in steering Polarsteps toward reaching over 100 million users globally.Your Daily ResponsibilitiesHere’s what your day-to-day at Polarsteps will entail.Collaborate with product, growth, and marketing teams to convert business inquiries into meticulously designed experiments with clear success metrics.Design, execute, and analyze experiments within product and marketing domains to facilitate data-informed decisions at scale for Polarsteps.Enhance our experimentation methodologies by introducing advanced techniques (such as SPRT and stratified sampling) to accelerate learning and increase confidence in our deployments.Develop and sustain the statistical frameworks and tools that underpin our experimentation processes, including sample size calculators and automated analysis pipelines.Communicate experiment results and strategic insights to senior stakeholders, transforming statistical data into actionable recommendations.Your Skill SetWe are looking for candidates with the following qualifications. At least 5 years of relevant experience in data science and experimentation. Proven experience working with B2C native mobile applications. Proficiency in SQL, familiarity with Python, and knowledge of cloud data environments (like AWS, Clickhouse, etc.). Practical experience in developing and scaling experimentation practices, collaborating with product managers or marketing teams.

Welcome to Adyen Adyen is a leading financial technology platform that provides comprehensive payment, data, and financial solutions to high-profile clients including Meta, Uber, H&M, and Microsoft. We are committed to engineering success and empowering our team members to achieve their professional ambitions. We cultivate a dynamic environment that fosters growth, collaboration, and innovation. Our motivated teams work together to tackle complex technical challenges and deliver cutting-edge, ethical solutions that help businesses reach their goals more efficiently. About the Role We are on the lookout for a seasoned Data Scientist to join our Experimentation Platform team in Amsterdam. In this role, you will leverage your extensive knowledge of statistical hypothesis testing, experimental design, and quantitative research methodologies to enhance the scope of experimentation at Adyen. Your expertise will contribute to implementing advanced statistical approaches that drive experimentation at an unparalleled scale. Your Responsibilities Research and implement state-of-the-art statistical methods to deliver robust signals across diverse business contexts, optimizing for timeliness and experimental quality. Deepen your understanding of Adyen’s unique domain to prioritize methodologies that maximize business value. Stay current with the latest advancements in statistical hypothesis testing. Collaborate with a multidisciplinary team of backend, frontend, and data engineers to define requirements for new platform features, ensuring proper integration of statistical methods. Work alongside data scientists across Adyen to explore innovative applications of statistical and data science techniques to solve challenging problems. Engage with platform users to provide support and promote a culture of experimentation and data-driven product development.

Create meaningful change. Embrace humanity. Keep exploring.About UsAt Rewire, we are at the forefront of the AI revolution, harnessing the power of data to drive transformative solutions. As the volume of data expands exponentially, the demand for intelligent, impact-driven professionals is at an all-time high. We don't merely follow trends in Data and AI; we actively shape them.If you thrive on addressing real-world challenges and delivering tangible results, this opportunity is tailor-made for you! Your innovative mindset and expertise will empower you to significantly influence Rewire's trajectory, utilizing data and AI to craft pioneering solutions.We are on a bold mission to exponentially grow Rewire's business, and we need a Data Scientist to help us achieve our ambitions. You will have the unique opportunity to engage in impactful data and AI projects, collaborate intimately with clients, and facilitate significant outcomes for our esteemed clientele. Your role will be dynamic! You will support the everyday execution of transformation projects, while simultaneously enhancing your own skills and contributing to Rewire's thought leadership within the industry.Join a vibrant team of data and AI experts who tackle substantial challenges, create intelligent solutions, and enjoy the journey together. Ready to embark on this adventure?Your ContributionsAdvance data and AI initiatives – analyze datasets, construct models, and deliver insights that foster genuine business impact.Utilize state-of-the-art machine learning methods – address intricate, real-world issues with creative solutions.Create algorithmic solutions – take charge of your projects and help revolutionize critical business processes.Facilitate organizational transformation – implement data and AI innovations backed by our GAIN® certified education and training portfolio.Leverage your technical skills and communication abilities – develop scalable data and AI solutions that generate value throughout the organization.Team up with cross-functional teams from both the client and Rewire – make contributions from day one while gaining insights from seasoned leaders.Why Choose Us?Be part of groundbreaking innovation in the data and AI landscape.

At bunq, we are not merely developing a banking app; we are revolutionizing the way individuals globally achieve financial freedom. We are seeking a Data Scientist to join our marketing division, becoming the analytical powerhouse that drives our growth. You will not only analyze historical data but also create predictive models and dashboards that illuminate our future, enabling our teams to act swiftly and confidently.Embrace ResponsibilityIn your role as a Data Scientist, you will transform strategic ambiguity into analytical precision. You will manage the comprehensive data lifecycle and emerge as a trusted ally who translates intricate data into actionable marketing strategies.Develop and oversee our predictive marketing models and impactful Looker dashboards, delivering the forward-thinking insights and tools essential for our teams to make proactive, data-driven choices.Lead end-to-end analytics pipelines using SQL and Python, encompassing data cleaning, feature engineering, and model development, to provide clear, actionable insights that shape our marketing approach.Collaborate closely with product, marketing, and engineering teams, translating complex analytical results into practical recommendations and establishing yourself as the go-to advisor for data-driven marketing.

everience is hiring a Data Scientist in Amsterdam. This position focuses on using data to support new ideas and improve services across the company. Role overview The Data Scientist will work on projects involving data analysis, machine learning, and statistical modeling. Collaboration with the engineering team is a key part of the job, with an emphasis on developing practical, data-driven solutions for real-world problems. What you will do Analyze data to uncover trends and insights Apply machine learning techniques to solve business challenges Build and refine statistical models Work closely with engineers to deliver solutions that make a difference Requirements Motivation to work with data and drive innovation Experience or interest in data analysis, machine learning, and statistical modeling Strong collaboration skills, especially when working with engineering teams

Join our dynamic team at Adyen as a Machine Learning Scientist. In this role, you'll be at the forefront of developing innovative machine learning algorithms that enhance our payment solutions. Collaborate with cross-functional teams to translate complex data into actionable insights and drive decision-making processes across the organization.

Join our dynamic team as a Data Science Consultant at sia in Amsterdam. In this pivotal role, you will leverage your analytical skills and expertise in data science to drive impactful business decisions. You will work closely with cross-functional teams to develop data-driven strategies and solutions that enhance organizational performance.

Are you passionate about working in a multidisciplinary field that utilizes scientifically-backed methods, processes, and techniques to gain insights from both structured and unstructured data? Do you possess programming skills and have a broad understanding of various techniques at the intersection of statistics, mathematics, information science, and computer science? If so, the Data Science Traineeship at sdp is the perfect next step for you! These are the skills we are looking for to kickstart your career in Data Science.As a Data Scientist, you will perform calculations based on data to make predictions about future developments within the industry or organization. Being a proficient programmer is essential for this role. Furthermore, a Data Scientist engages in building, predicting, and evaluating algorithms, looking not only at past and present data but also utilizing predictive models to forecast future trends.Our Data Science Traineeship begins every quarter, where you will be trained by specialists with real-world experience to become a Junior Data Engineer or Junior Data Scientist.During the first three months, you will receive full-time training (theory, exams, and practical experience) from professionals in the data field. Following this training period, we will guide you towards suitable clients in your local area. We ensure you participate in several interviews with exciting clients, allowing you to choose where you wish to begin your career. A complete overview of our current clients can be found here.Your tasks will vary depending on the client and industry, but may include:Cleaning and processing raw data into usable data;Setting up and configuring a data warehouse;Advising on current and future business operations based on your findings;Identifying patterns in large datasets to develop predictive algorithms (machine learning);Describing and visualizing discovered insights and predictions.

Join our innovative team at pinely as a Staff Research Scientist / Principal Deep Learning Scientist, where you'll spearhead groundbreaking AI research initiatives. In this prominent individual contributor role, you will be at the forefront of technical advancements, crafting research strategies that influence the entire team.We are looking for someone with a profound curiosity and a strong history of leadership in AI laboratories. You should possess hands-on experience with neural networks and applied AI research, ready to take the initiative and make tangible contributions to the development and deployment of advanced models.Key Responsibilities:Lead the creation of AI models that underpin all elements of our trading strategies across global markets.Address the ultimate challenge of forecasting the future by “solving” the complexities of financial markets, leveraging your understanding of deep neural networks amidst diverse, noisy, and ever-evolving dependencies.Guide the direction of research and enhance team capabilities through your deep expertise and insights.Participate in all phases of research, from concept generation to deployment, ensuring the seamless integration of new findings into production systems.Qualifications:Experience as a Senior/Staff/Principal Researcher at a prestigious AI lab or as a faculty member (Professor/Lecturer) at a renowned AI research institution (e.g., Stanford, Berkeley, CMU, MIT, Mila, ETH, UofT, Oxford, UCL, NYU, Princeton).Preferred expertise in competitive, application-driven AI domains such as LLMs, reasoning architectures, generative modalities (e.g., video), or mechanistic interpretability.A drive for impactful research depth with a focus on contributing meaningfully to both the team and the wider field.What We Offer:A unique opportunity to make significant contributions across the entirety of our trading portfolio.Competitive compensation with exceptional profit-sharing potential.A research-driven environment where your deep technical insights directly influence outcomes.Flexibility to work part-time alongside your academic lab commitments.A culture that fosters personal initiative, supports exploration of new ideas, and acknowledges outstanding performance.Flexible work options, with the choice of working from our Amsterdam office or fully remotely, along with potential business travel as needed.

Welcome to Cradle BioAt Cradle Bio, we recognize that proteins serve as the essential molecular machinery of life, facilitating a diverse range of therapeutic, diagnostic, chemical, agricultural, and food applications. The intricate process of designing and optimizing proteins necessitates extensive expert knowledge and meticulous manual effort, utilizing bespoke computational and biological tools.With the advent of machine learning, we are witnessing a transformative revolution in this domain, allowing for the creation of highly accurate protein models. Cradle offers a cutting-edge software platform that empowers AI-guided discovery and optimization of proteins, enabling biologists to design proteins more rapidly and at scale. Our innovative platform is already trusted by a variety of clients across biopharma, biotech, agri-tech, food-tech, and academic sectors.Our team comprises approximately 75 experienced professionals who have successfully developed numerous products in the past and possess sufficient funding to sustain operations for several years. With primary offices located in Zurich and Amsterdam, we prioritize cultivating an exceptional team culture.We provide our employees with a highly competitive salary package, a generous equity stake in the company, and a comprehensive array of benefits and opportunities for career advancement.

MOC 't Kabouterhuis in Amsterdam South offers an internship for students in orthopedagogy or psychology who want to support families and young children. This role places interns at the heart of daily care, working closely with both children and their families. What You Will Do Work alongside experienced lead practitioners, receiving guidance from a generalist orthopedagogue or clinical psychologist. Learn how behavioral scientists coordinate outpatient care and group therapies. Observe and participate in the full diagnostic and treatment process: collecting information from multiple disciplines, building a complete clinical picture, and supporting treatment decisions. Take part in intake and evaluation meetings with parents and other professionals. Conduct behavioral observations and help administer diagnostic tests and questionnaires. Assist in developing treatment plans and co-write research reports. Join multidisciplinary meetings, gaining insight into collaborative care for young children. Shadow professionals from different disciplines for a broad view of the care provided at 't Kabouterhuis. Apply the IMH (Infant Mental Health) vision in practice and reflect on your development as a trainee behavioral scientist. Work towards completing your diagnostic annotation (BAD/BAPD), if relevant to your studies. Who This Internship Suits This internship is designed for students in orthopedagogy or psychology who are interested in early childhood development and want hands-on experience with families in vulnerable situations. Curiosity, empathy, and a willingness to learn from a multidisciplinary team are important qualities. Location This position is based in Amsterdam South, Noord-Holland, Nederland.

Are you passionate about leveraging data to deliver exceptional value to clients? If you're excited by the challenge of not just advising but also producing tangible results, we want to meet you. Are you ready to take your career to the next level, tackling complex data challenges and specializing further in data management? Join us!Who We AreAt Precedence, we excel in unlocking the potential within organizations by creating value through innovative digital solutions. Our mission is to translate complex problems into comprehensible digital solutions and streamlined business processes, ensuring our clients remain at the forefront of the digital landscape. We are dedicated to delivering results. Our consultants collaborate with leading clients across various sectors in the Netherlands and beyond, including telecommunications, automotive, government, banking & finance, and pharmaceuticals & healthcare. Our strength lies in our team of 60 dedicated Precedencials.What You'll Do as a Data AnalystIn this pivotal role, you will advise our clients on effective data management, develop data strategies, and translate them into actionable solutions to extract maximum value from their data. Your involvement will span all project phases, from developing data governance frameworks to implementing data quality processes and providing insights on data analysis.Identify improvement opportunities through thorough analysis of data sources and processes.Design and implement data architecture and models to enhance interoperability and scalability.Advise and assist with data integration, migration, and transformation projects to create more efficient systems.Deliver insights that support your clients in making informed business decisions.Provide training and support to users to help them effectively manage and utilize data.

Join sia as a Data Architect and help us shape the future of data-driven solutions. As a key member of our team, you will design, implement, and manage data architecture frameworks that empower our business to leverage data effectively. Your expertise will guide the development of scalable and secure data solutions that enhance decision-making and drive innovation across the organization.

Role Overview jobs is entering a key growth stage and is looking for a Data Engineer in Amsterdam to shape the data infrastructure supporting our platform. This role connects data acquisition with engineering, moving our teams from manual work to a fully automated environment. The focus: build tailored data pipelines, implement orchestration, and enable Operations and leadership to shift from basic reporting to advanced, AI-ready data products. Infrastructure-as-Code, orchestration tools, and system resilience are central to this position, supporting both Product and Go-To-Market strategies. Your First Year: What to Expect First 3 months: Learn our stack (GCP, BigQuery, Airbyte, dbt) and spot issues in current data flows. Deliver quick improvements to product usage analytics for Product and Go-To-Market teams. Start designing custom data pipelines and plan the migration of our infrastructure to Terraform. By 6 months: Launch a new orchestration layer (such as Airflow or Dagster). Move the first custom pipelines into production. Work with the Analytics Engineer to combine product usage, CRM, and billing data for a unified customer journey view. Define much of our data infrastructure as code, reducing manual work and improving reliability. After 1 year: Take full strategic ownership of the data platform and its architecture. Advise leadership on scaling new data-driven features. Prepare our data warehouse for AI and Machine Learning by ensuring strong quality controls, governance, and fast access patterns. Main Responsibilities Infrastructure-as-Code: Move all GCP and BigQuery resources into Terraform. Set up automated CI/CD so the data environment is reproducible, version-controlled, and ready for enterprise needs. Production Pipelines: Design, build, and manage reliable ELT pipelines. Establish a modern orchestration layer (such as Airflow or Dagster) to streamline pipeline operations.

Rituals Cosmetics seeks a Data Specialist based in Amsterdam. This position focuses on transforming raw data into actionable insights that guide business choices and enhance the customer experience. Key responsibilities Manage and analyze company data to uncover trends and patterns. Verify data accuracy and help maintain efficient data processes. Deliver clear reports and insights to support strategic decisions. Role impact This role works directly with data that shapes how Rituals operates and interacts with customers. The insights provided will influence both company strategy and daily activities.

Since its inception in 2018, Bitvavo has been at the forefront of the digital assets trading revolution, providing a seamless bridge between traditional currencies and digital assets. With a commitment to transparent fees, a diverse selection of assets, and a user-friendly interface, Bitvavo is dedicated to making the future of currency accessible to all.In just two years, Bitvavo has risen to become the leading platform in the Netherlands and one of Europe's largest exchanges, boasting over one million users who transact tens of billions in digital assets annually.Based in Amsterdam, our dynamic team is seeking driven and talented individuals to join us in our mission to democratize digital asset access.About the RoleAs the Director of Data Strategy, you will spearhead the development and scaling of the Data organization. Your responsibilities will include crafting the data strategy and ensuring that data, analytics, and insights are pivotal to business decision-making throughout the company. This includes overseeing the entire data function, from infrastructure and analytics to metrics, modeling, and business insights, while collaborating closely with senior leadership to maximize impact.This position demands exceptional leadership skills, a profound technical grasp of contemporary data systems, and the ability to thrive in a fast-paced, scaling environment.What You Will DoData Strategy & ExecutionDevelop and implement the company’s data strategy, encompassing analytics, data modeling, metrics, experimentation, and data infrastructure, aligned with business goals.Establish clear data principles, standards, and best practices to ensure the highest levels of data quality, reliability, and usability across the organization.Advance the evolution of the data platform to accommodate scaling, performance, and increasing analytical complexity.Leadership & Team DevelopmentLead, nurture, and develop a high-performing Data team of approximately 25 professionals, including Data Engineers, Analytics Engineers, Data Analysts, and Data Scientists.Cultivate strong managers and senior individual contributors, fostering a culture of ownership, accountability, and continuous improvement.Attract, hire, and onboard top-tier talent as the organization continues to expand.Business Impact & MetricsOversee the company's metrics and KPI framework, assuring consistent definitions, governance, and alignment across all teams.

Join our dynamic team at sia as a Data Management Consultant. In this role, you will leverage your expertise to provide strategic insights and solutions for data management challenges across various sectors. You will work collaboratively with clients to design and implement data governance frameworks, ensuring data integrity and compliance while maximizing the value of their data assets.Your analytical skills and problem-solving abilities will be critical in driving effective data management strategies. If you are passionate about data and thrive in a fast-paced environment, this opportunity is for you!

Welcome to AdyenAt Adyen, we revolutionize payment solutions by seamlessly integrating payments, data, and financial products into one comprehensive platform for leading companies like Meta, Uber, H&M, and Microsoft. We pride ourselves on being the preferred financial technology provider, where every initiative is driven by ambition.We cultivate a work environment that empowers our team members to thrive and take charge of their career paths. Our motivated workforce tackles complex technical challenges collaboratively, delivering innovative and ethical solutions that accelerate our clients' success.Position: Data Engineer IIJoin our dynamic team in Amsterdam as a Data Engineer II. At Adyen, we regard data and its associated artifacts as fundamental components that underpin our operations and inform our business insights. In this pivotal role, you will leverage your expertise to design and maintain robust data pipelines within our Big Data Platform, ensuring the integrity and accessibility of data across our systems.

As a Senior Data Engineer at Hot ITem Conclusion, you will be more than just a technical expert; your deep understanding of data will empower our clients to derive greater value from their data platforms. You will translate complex challenges into scalable and innovative data architectures, being involved from inception to execution. Whether you're building a modern data foundation for the largest amusement park in the Netherlands or a hospital in Amsterdam, your work will ensure that data makes a real impact.You will work daily with vast amounts of data, ensuring that billions of records are processed promptly and efficiently. Innovation is a thread that runs through your work; you will constantly seek intelligent and innovative solutions. Additionally, you will mentor your colleagues, ensuring they can optimally support clients in enhancing and automating business processes. By actively sharing your knowledge and experience, you contribute to the growth and development of the team.Interested in learning more about this role? Read the interview with our Data Engineer Nirwan Ahmed and discover his experiences.