Senior Data Scientist - Global Innovation

Job Description As a Senior Data Scientist at our company, you will play a crucial role in driving the development of next-generation analytical capabilities to optimize pricing, trade investments, portfolio mix, and market execution. Your responsibilities will include: - Leading the development of advanced commercial analytics solutions supporting strategic decision-making across pricing, promotions, assortment, channel strategy, and go-to-market execution. - Designing and scaling machine learning and statistical frameworks to analyze consumer behavior, market dynamics, and commercial performance across multiple markets and channels. - Developing predictive and causal modeling capabilities to evaluate the impact of commercial initiatives, enabling data-driven optimization of trade investments, promotional strategies, and portfolio decisions. - Building demand forecasting and market intelligence models that integrate internal and external signals to improve planning accuracy and strategic foresight. - Applying advanced segmentation and clustering techniques to identify growth opportunities across customers, categories, and geographies. - Driving scenario planning and simulation modeling to evaluate strategic business decisions under different market conditions and support forward-looking commercial strategy development. - Leading commercial experimentation and impact measurement, using structured testing frameworks and quasi-experimental methods to assess the effectiveness of business initiatives. - Integrating internal commercial datasets and external market intelligence to build scalable analytics pipelines and unified data foundations for advanced modeling and strategic insights. - Developing automated analytics workflows and executive dashboards to track commercial performance, portfolio dynamics, and strategic KPIs in near real time. - Partnering closely with senior commercial leadership, finance, and regional market teams to translate analytical insights into actionable strategies and operational improvements. - Preparing and delivering high-impact insights and strategic recommendations to VP and executive stakeholders, shaping commercial priorities and innovation roadmaps. - Continuously improving model performance and scalability through advanced feature engineering, model validation, and deployment best practices. - Mentoring and guiding analytics talent within the team, strengthening capabilities in advanced analytics, machine learning, and business storytelling. - Maintaining strong analytics governance and documentation, ensuring transparency, reproducibility, and long-term scalability of analytical solutions. In addition to the technical skills mentioned above, you will need to have: - A Bachelor or Post-Graduate degree in Business & Marketing, Engineering/Solution, or equivalent work experience. - Extensive experience solving business problems using quantitative approaches. - Proficiency in Python (pandas, scikit-learn, statsmodels) and SQL. - MBA/Engg. in a relevant technical field such as Marketing/Finance. - 5-8 years of experience in the Retail/CPG domain. - Stakeholder management and excellent interpersonal skills. - Fluent in English (Speaking, Reading, and Writing). Your undying love for beer and passion for creating a future with more cheers will make you a perfect fit for our team. As a Senior Data Scientist at our company, you will play a crucial role in driving the development of next-generation analytical capabilities to optimize pricing, trade investments, portfolio mix, and market execution. Your responsibilities will include: - Leading the development of advanced commercial analytics solutions supporting strategic decision-making across pricing, promotions, assortment, channel strategy, and go-to-market execution. - Designing and scaling machine learning and statistical frameworks to analyze consumer behavior, market dynamics, and commercial performance across multiple markets and channels. - Developing predictive and causal modeling capabilities to evaluate the impact of commercial initiatives, enabling data-driven optimization of trade investments, promotional strategies, and portfolio decisions. - Building demand forecasting and market intelligence models that integrate internal and external signals to improve planning accuracy and strategic foresight. - Applying advanced segmentation and clustering techniques to identify growth opportunities across customers, categories, and geographies. - Driving scenario planning and simulation modeling to evaluate strategic business decisions under different market conditions and support forward-looking commercial strategy development. - Leading commercial experimentation and impact measurement, using structured testing frameworks and quasi-experimental methods to assess the effectiveness of business initiatives. - Integrating internal commercial datasets and external market intelligence to build scalable analytics pipelines and unif