Decision Scientist, Marketing Modelling Intelligence, Marketing DSA
About the role
Decision Scientist, Marketing Modelling Intelligence, Marketing DSA | Vinted Careers Vinted Relocation How We Hire Engineering Academy Data Science & Analytics Academy Marketing Tech Academy Internships Early Careers Blog Vinted Group Vinted Marketplace Vinted Go Vinted Pay Culture at Vinted About en Jobs Decision Scientist, Marketing Modelling Intelligence, Marketing DSA Data Science & Analytics Amsterdam, Netherlands Vinted Marketplace 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 – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’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 As a Decision Scientist at Vinted, your work will have a tangible impact on the real world, empowering Vinted’s members to lead more sustainable lives. You will play a key role in shaping our product and business strategy by leveraging data to drive impactful decision-making. Decision Scientists at Vinted are distributed across our family of domains: Strategy & Planning, Marketing, Member Lifecycle, Buyer, Seller, Pricing & Revenue, Purchase, Order, Payments, Trust & Safety, Security, Help Experience, Vinted Go OpsTech, Vinted Go Points, and Vinted Go Network, either embedded in cross-functional product teams or as part of data teams, collaborating closely with colleagues to identify opportunities, generate insights, and improve member experiences. Vinted’s Marketing domain is growing - we’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’re looking for a Decision Scientist to join our Marketing Modelling Intelligence team to help guide high-stakes decisions across our channels and markets. As part of this team, you will maintain and improve Bayesian Media Mix Models , further develop our ROI and payback measurement , and apply statistical and econometric models to guide data-driven investment decisions and have direct impact on Vinted’s growth and ROI. In this position, you’ll Advance Marketing Intelligence: Co-create the development of our Bayesian Media Mix Models (MMM) and partner with experts to evolve our global ROI and payback frameworks. Steer Investment Decisions: Act as a strategic advisor to Marketing leaders, using econometric insights and statistical modelling to guide high-stakes investments across channels and markets. Validate Strategic Bets: Identify growth opportunities and answer critical business questions by designing rigorous tests and analysing impact using advanced statistical methods. Scale Decision-Making: Design and deploy automated data products and self-service tools that empower the domain to make data-driven decisions independently and at scale. Champion Data Excellence: Oversee key performance indicators and promote analytics best practices, ensuring our data culture translates directly into business results. About you Solid foundational experience (2–4 years) in data science, analytics, or a similar field. Experience in marketing analytics and measurement is a great benefit, but not a must. A strategic mindset: You don't just provide data; you connect scientific findings to pragmatic business solutions that drive real-world growth. Good communicator: You are skilled at influencing stakeholders and can present complex modelling results in a persuasive way to both technical and non-technical audiences. Strong technical proficiency: Proficient in Python and SQL, with hands-on experience using dbt and BI tools (like Looker or Tableau) to build scalable data products. Strong theoretical foundation: Deep knowledge of principles behind data science, including statistical modelling and regression analysis. Experience with Bayesian statistics is a significant plus. Educational background: A graduate degree in Data Science, Statistics, Math, Economics, Econometrics or a related quantitative field. Excellent written and spoken English. Advantage: Previous experience with Media Mix Modelling (MMM) or advanced attribution methods will be considered as advantage. Work