Senior MMM Data Scientist

We are a team of tech and data enthusiasts on a mission to bring together the best minds in IT and analytics. Our goal is to build cutting-edge analytical hubs that empower our partners to become truly data-driven organizations.Join one of the largest in-house MMM (Marketing Mix Modeling) teams in the industry, building next-generation analytics solutions at worldwide scale. As part of a flagship initiative within a leading organization operating in over 190 markets, our team is at the forefront of data-driven transformation and has strong visibility across the business.We are looking for a Senior Data Scientist with MMM expertise to help shape, develop, and deploy impactful analytical solutions as part of the Global Analytics Unit—a central, high-priority function driving innovation across the company.In this high-impact role, you will own the full data science lifecycle: from exploratory analysis and model development to refactoring, testing, deployment, and performance optimization. You will work alongside talented MMM professionals and make a truly global impact with your work.If you want to contribute to meaningful, large-scale projects and help our partners make smarter, data-driven decisions—this role is for you.ResponsibilitiesLead end-to-end MMM data science projects—from problem framing and data exploration to deployment and ongoing monitoring.Develop, refactor, and productionize robust data preprocessing pipelines to ensure stability and scalability.Design and integrate new features into our advanced MMM framework to improve performance and analytical capabilities.Build and maintain reusable helper functions for hyperparameter optimization, feature selection, and model evaluation.Improve model accuracy and diagnostics using weighted R², adjusted R², Xi correlation, RMSE, and MAE.Automate baseline validation and implement standardized approaches for benchmarking model performance.Work closely with Data Engineers and MLOps Specialists to deploy models into production within Azure-based infrastructure.Collaborate with business stakeholders to translate analytical insights into clear, actionable recommendations.Requirements5+ years of professional experience in Data Science or ML Engineering, including production deployments.At least 1 year of experience developing Marketing Mix Models (MMM) or working with Time Series Analysis.MSc or PhD in Computer Science, Statistics, Mathematics, Physics, or a related field.Strong Python skills and solid software engineering foundations (OOP, modular design, testing).Strong experience with ML frameworks and the NumFOCUS ecosystem: pandas, scikit-learn, SciPy, NumPy, Matplotlib.Familiarity with cloud computing (Azure experience is a plus).Experience designing robust validation and monitoring strategies for production ML models.Strong analytical mindset and the ability to think critically about model behavior.Fluency in English (spoken and written), as you will collaborate globally.Nice to haveExperience with Google Meridian, LightweightMMM, or Robyn.Experience with Bayesian modeling.Knowledge of MCMC methods.Understanding of CI/CD and MLOps pipelines, Docker/Kubernetes, and model deployment practices.Experience working in agile, cross-functional environments.Exposure to multi-tenant or global-scale data systems.Publications, GitHub portfolio, or open-source contributions.Why join usIf you’re looking for an opportunity to:Tackle complex, real-world business challenges using advanced analytics and machine learning.Build and deploy production-grade models that influence decisions across global markets.Work in one of the largest and most skilled MMM teams in the industry.Join a product-oriented FMCG environment that values innovation and technical excellence.Use the latest GenAI tools, including GitHub Copilot, to make your work more efficient…this role might be the perfect fit.You will also benefit from:Flexible working hours with a hybrid/remote work model.Private medical care and a Multisport card.Access to online learning platforms, certifications, and global knowledge exchange.A relaxed, non-corporate atmosphere with strong respect for expertise and ownership.A modern office in central Warsaw with excellent transport links.Please add to your CV the following clause:"I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.”If you want to be considered in the future recruitment processes please add the following statement:"I also agree to the processing of my personal data for the purpose of future recruitment processes.”