Data Scientist

We are expanding our **Data \& ML** team with an additional **Data Scientist** focusing on **marketing** . We have already created significant value from ML across several areas, but see clear untapped potential in applying it more deeply within marketing to improve ROI. We are now looking for a Data Scientist who will focus on marketing and drive measurable business impact through close collaboration with marketing teams across our markets. **What you will do** * Build, deploy, and improve machine learning models that optimize marketing performance across markets. * Apply ML to improve bidding efficiency, attribution, and CRM effectiveness. * Partner with marketers and business developers as a trusted advisor to drive ROI through effective use of ML. * Ensure models are production\-ready and deliver measurable, continuous business value. * Design, analyze, and interpret MMM, experiments, and causal analyses to guide marketing investment decisions. * Identify and prioritize new opportunities where ML can improve marketing efficiency. **What you bring** * \+3 years of experience as a Data Scientist or in a similar applied ML role. * Good understanding of marketing use cases such as bidding optimization, attribution, and CRM. * Proven ability to collaborate closely with marketing teams to drive measurable business results with data and ML. * Takes initiative to identify, shape, and drive ML opportunities end\-to\-end, from idea to measurable business impact. * Proven experience designing and interpreting MMM or incrementality tests to guide marketing investment decisions. * Strong modeling expertise, with deep knowledge of statistical and machine learning methods, including when and how to apply them in a marketing context. * Strong Python programming skills. **Very nice to have** * Deep understanding of how ad bidding algorithms work and how machine learning can be used to influence, complement, or optimize them. * Experience deploying, running, and monitoring machine learning models in production using a modern tech stack (e.g. Kubernetes, GCP, ArgoCD). * Enjoy working at the intersection of business, data, and engineering. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data \& ML team that values well\-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup.