Senior Data Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for

, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Senior Data Scientist (Marketing Mix/ ML) Roche India - Roche Services & Solutions Hyderabad / Chennai A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Roche has established the Global Analytics and Technology Center of Excellence (GATE) to drive analytics- and technology-driven solutions by partnering with Roche affiliates across the globe. GATE enables data-led decision-making and innovation across healthcare and biotech operations. As a Senior Data Scientist, you will lead and deliver high-impact data science projects that enable strategic decision-making within Roche’s healthcare and commercial ecosystem. Collaborating closely with cross-functional teams, your primary focus will be on Healthcare and Pharma Data Science and Marketing Mix Modeling (MMM) leveraging advanced statistical and machine-learning techniques to generate actionable insights and optimize business outcomes. Exposure to GenAI, LLM, NLP, and ML Ops will be considered an added advantage, supporting Roche’s future-ready analytics and AI roadmap. Your Opportunity: Advanced Analytics (Primary Focus): • Collect, clean, and prepare large and complex healthcare-related datasets (product performance, patient data, operational metrics, etc.) for analysis • Develop and implement statistical and machine learning models (e.g., multivariate regression, time-series analysis, XGBoost, clustering, classification, causal inference) to address complex business problems and uncover meaningful insights • Utilize advanced data analytics techniques to explore and identify patterns, trends, and root causes, applying methodologies such as clustering, classification, and causal inference Marketing and Experimental Analytics (Primary Focus): • Build Econometric/market mix models (MMM), multi-touch attribution models (MTA), optimize marketing spend and come-up with implementable recommendations and strategy/plan • Lead the development and implementation of advanced Media Mix Models to inform and optimize marketing spend across multiple channels (e.g., TV, digital, print, radio) • Design and execute complex statistical analyses to evaluate the effectiveness of marketing strategies and optimize resource allocation • Apply experimental design and A/B testing methodologies to validate and measure marketing and operational initiatives Project Leadership and Collaboration (Primary Focus): • Lead and manage end-to-end data science projects from problem definition to model deployment ensuring alignment with business goals and timelines • Partner with cross-functional teams to define business