Senior MMM Data Scientist

About Company: Team Connect is Poland’s leading nearshore and offshore IT provider. Since 2008 we successfully create and develop software for our clients.    We specialize in Agile and DevOps-based software development. From the analysis stage through implementation. We develop backend, frontend, and mobile applications.  About the Role: As a Senior MMM Data Scientist, you will serve as the technical architect of our measurement strategy. You won't just run models; you will build the engine that defines how we allocate multi-million dollar budgets. Leveraging Google’s Meridian framework, you will bridge the gap between complex Bayesian statistics and actionable marketing intelligence, ensuring every dollar spent is backed by rigorous. Responsibilities: • Model Architecture & Development: Design, develop, and refine end-to-end Marketing Mix Models using the Meridian framework to quantify the incremental impact of offline and online media channels. • Pipeline Automation: Build and maintain scalable Python pipelines for data ingestion, feature engineering (addressing seasonality, price elasticity, and macro-trends), and automated model validation. • Bayesian Inference & Optimization: Utilize Bayesian methods to incorporate prior knowledge and reach deeper insights into diminishing returns (S-curves) and media ad-stock effects. • Strategic Advisory: Translate technical model outputs (ROI, mCPA, and contribution charts) into executive-level narratives that guide CMOs and media planners in budget reallocation. • Experimentation Integration: Partner with the broader Data Science team to calibrate MMM results using "Ground Truth" data from incrementality tests (Geo-experiments or Lift studies). Must-Have Qualifications: • Meridian Mastery: Proven track record of deploying Google’s Meridian (or similar Bayesian frameworks like LightweightMMM) in a production environment. • Python Expert: Advanced proficiency in Python, specifically within the data stack (Pandas, NumPy, PyMC/ArviZ, and Scikit-learn). • Statistical Rigor: 6+ years of experience in econometrics or causal inference, with a deep understanding of time-series analysis and multivariate regression. • Domain Expertise: A solid grasp of the modern media landscape, including nuances in programmatic, social, search, and traditional broadcast attribution. Nice-to-Have: • Cloud Orchestration: Experience scaling workflows on Google Cloud Platform (GCP), specifically using BigQuery for data warehousing and Vertex AI for model lifecycle management. • Engineering Best Practices: Familiarity with CI/CD, Git workflows, and containerization (Docker) to ensure model reproducibility. • Visualization: Ability to build custom dashboards (Looker, Tableau, or Streamlit) to make model results accessible to non-technical stakeholders. Why This Role? You will be at the forefront of the "privacy-first" measurement revolution. As cookies deprecate, your work in MMM becomes the primary source of truth for the organization, offering you high visibility and the opportunity to shape the future of our marketing technology stack. We offer: • Long-term cooperation  • Benefits package – Multisport card, medical care & life insurance  • Training budget  • Assistance in accounting issues when setting up/running a business  • Free english lessons  • Individual support from a dedicated company supervisor