Senior Data Scientist with MMM

Senior Data Scientist with MMM Miejsce pracy: Warszawa Technologies we use Expected Python R Google Meta Salesforce Adobe Optional Google Meridian Robyn Streamlit React RShiny Operating system Windows Linux About the project At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your responsibilities Design, build, and validate Marketing Mix Models to quantify marketing impact and ROI across multiple touchpoints. Develop robust data pipelines for data ingestion, transformation, and validation across various sources (digital, CRM, media spend, and sales). Apply econometric and machine learning techniques (e.g., regression, Bayesian modelling, time-series analysis) to explain business outcomes. Collaborate cross-functionally with marketing, finance, and data engineering teams to align on KPIs and measurement frameworks. Automate MMM workflows using Python, R, and cloud-based tools (AWS, GCP, Azure). Present insights to senior stakeholders in a clear, business-oriented manner. Support model governance, documentation, and continuous improvement of MMM frameworks. Our requirements 5 years of experience in Data Science, Econometrics, or Advanced Analytics. Proven experience developing and maintaining Marketing Mix Models (MMM) at scale. Strong proficiency in Python and/or R for data manipulation, modelling, and visualization. Deep understanding of marketing metrics (ROI, CPx, media elasticity, saturation, adstock, etc.). Experience working with marketing and sales data from sources such as Google, Meta, Salesforce, or Adobe. Solid grasp of statistical modelling, Bayesian inference, and regression analysis. Excellent communication and presentation skills in English. Optional Experience with Google Meridian, Robyn, or other MMM frameworks. Knowledge of incrementality testing or attribution modelling. Background in FMCG, retail, or media analytics. Front-end programming skills (i.e. Streamlit, React, RShiny etc.) What we offer Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Benefits sharing the costs of sports activities private medical care life insurance no dress code parking space for employees extra social benefits redeployment package employee referral program charity initiatives access to courses e.g. Excel, VBA, RPA, Customer Care unlimited access to Udemy Business free chat/call with a therapist Recruitment stages Interview with the recruiter Competency Tests/Language Verification Video call with a manager Final Decision Capgemini Polska Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. I agree to the processing of personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).