Decision Scientist | Transport

Job DescriptionWhat we do:Amsterdam Data Collective (ADC) is an AI Transformations partner for its clients, driving the responsible adoption of data and AI to create real impact for organisations. We support our clients in achieving their goals through data-driven solutions across multiple industries.ADC is a leading European data and AI consultancy that empowers organisations to harness the full potential of data and artificial intelligence in a pragmatic and impactful way. We provide strategic advisory and bespoke, end-to-end solutions to clients across various sectors, including financial services, life sciences, healthcare, the public sector, agriculture, and retail.The firm’s multidisciplinary expertise spans the entire data value chain:Data Strategy – Crafting actionable, business-aligned data and AI roadmaps Data Engineering – Designing secure, scalable, and future-proof data architectures Analytics & Data Science – Building AI-powered tools and predictive models that solve real-world problems Design & Visualisation – Through our in-house studio, CLEVER°FRANKE, creating intuitive, data-driven user experiences that bring complex insights to lifeShape the future of Data-Driven Decision Making with ADCAt ADC, we’re not just consultants—we’re leading experts in Data & Econometrics, driving responsible adoption to create real impact. We partner with organizations that matter, leveraging our expertise in statistics, econometrics, and causal inference to help them make data-driven decisions with confidence.Our Transport team is growing, and we’re looking for a skilled professional to uncover causal relationships and shape the future of decision-making. As a Decision Scientist, you’ll apply advanced statistical methods to real-world business challenges, helping clients unlock insights from their data. You’ll be part of a cross-functional team, working alongside data scientists and engineers to deliver impact-driven solutions.If you’re ready to be the difference by delivering real impact, thrive in a team that grows together, and believe in building with heart, we’d love to meet you!What You DoCausal Inference & Econometric Modeling Develop and implement state-of-the-art statistical techniques to identify causal effects in observational and experimental data. Design and execute econometric models, quasi-experiments, and A/B tests to support strategic decision-making. Stay at the forefront of the scientific literature for econometrics, statistics, and machine learning, continuously improving our methodologies. Client Impact & Communication Translate complex findings into clear, actionable insights through visualizations, presentations, and reports. Collaborate closely with clients to understand their challenges and tailor data-driven solutions to their needs. Guide stakeholders through evidence-based decision-making, helping them unlock the full potential of their data. Collaboration & Growth Work alongside data engineers and scientists to enhance data infrastructure and processes. Share knowledge and mentor colleagues, contributing to a culture of continuous learning. Take an entrepreneurial approach, helping ADC expand its Decision Science capabilities and explore new opportunities. RequirementsWhat You BringAt ADC, we believe that no one succeeds alone - we grow by challenging and supporting each other. We’re looking for someone who is passionate about driving impact with data, thrives in a team-driven environment, and takes ownership of their work.0-2 years of experience in data science, econometrics, or a related field, ideally in consulting or project-based work. A strong foundation in causal inference, panel data models, and statistical modelling. A strong vision for high-quality model development, with an eagerness to challenge the status quo and improve industry standards. A quantitative Academic degree (Statistics, Econometrics, Mathematics, Physics, Data Science or a related field). Excellent communication skills—you can break down complex ideas for technical and non-technical audiences. A proactive and entrepreneurial mindset—you’re eager to solve problems, innovate, and drive change. Fluency in English (Dutch is a plus). A proactive and resilient mindset, ready to embrace responsibility, push boundaries, and raise the bar for what’s possible. What We OfferAt ADC, we don’t just offer jobs - we offer growth, impact, and a sense of belonging. We empower you to take ownership, build something meaningful, and thrive collectively.A steep learning curve - take on responsibility from day one and grow into a trusted advisor, specialist, or future ADC leader. Projects that make an impact - where you’ll tackle real-world challenges and drive meaningful change. Freedom to innovate - bring your ideas to life and help shape the future of risk management. Ongoing learning & development - with peer groups, project presentations, mentorship programs and Collective Lunch Sharing Sessions. Our Collective Week - a workation with the entire ADC team, where we collaborate on pro bono projects and create unforgettable memories. A competitive salary with a collective bonus structure - because we believe in rewarding success as a team. The opportunity to invest in the company, once you meet the conditions. A welcoming office space in the heart of Amsterdam, with daily lunches prepared by our amazing office cook. A vibrant social culture - with Friday drinks, sports activities, and more... because work should be fun, too! At ADC, we believe in building with heart—where people, ethics, and impact come first. Ready to join us?What To Do NextWe are waiting for you to join our welcoming office in the centre of Amsterdam. If this opportunity sounds like your next destination, we are ready to welcome you to the team!Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.