Senior Data Scientist, Global Data Science

Job Description

Role Overview:As a Senior Data Scientist at Colgate-Palmolive, you will play a crucial role in building and scaling advanced analytics capabilities to measure and optimize Professional Marketing effectiveness across Oral Health, Pet Health (Hills), and Skin Health. Your responsibilities will include leading complex analytics initiatives, designing and implementing core modeling components, building predictive models, and applying AI and machine learning techniques to drive insights and decision-making. You will collaborate with various stakeholders across Marketing, Sales, Finance, IT, and Data Science to embed analytics into core commercial processes.Key Responsibilities:- Lead complex, end-to-end advanced analytics initiatives, owning solution architecture, modeling approach, and execution- Design and implement core modeling components in Python and SQL, setting the technical direction for scalable analytics solutions- Build predictive models, simulations, forecasting, and optimization frameworks for global use- Apply AI, GenAI, and LLMs to professional marketing analytics to drive insight generation, automation, and decision support- Drive hands-on experimentation with LLMs for unstructured data analysis and automation- Define and operationalize measurement, ROI frameworks, and analytical standards across markets- Translate complex analytics outputs into executive decision frameworks and strategic recommendations- Act as a technical thought leader within Global Data Science, influencing best practices and methodologies- Ensure solutions align with enterprise data governance and responsible AI principles- Accelerate adoption of analytics and AI solutions by coaching stakeholders and demonstrating value at scaleQualifications Required:- Education: Bachelors degree in Economics, Statistics, Data Science, Engineering, Business Analytics, or related quantitative fields- Experience: 46 years of experience in Data Science, Advanced Analytics, Marketing Analytics- Technical & Analytical Skills: Strong expertise in Python and SQL, statistical modeling, predictive analytics, and machine learning techniques. Experience with AI, GenAI, and LLMs is a plus- Business & Communication Skills: Ability to independently manage senior global stakeholders and translate analytics into actionable insightsAdditional Company Details:Colgate-Palmolive is committed to fostering an inclusive environment where everyone feels a true sense of belonging. They prioritize developing talent with diverse backgrounds and perspectives to best serve consumers globally. As an equal opportunity employer, Colgate values respect, diversity, and inclusion in the workplace. Reasonable accommodations are available for persons with disabilities during the application process. Role Overview:As a Senior Data Scientist at Colgate-Palmolive, you will play a crucial role in building and scaling advanced analytics capabilities to measure and optimize Professional Marketing effectiveness across Oral Health, Pet Health (Hills), and Skin Health. Your responsibilities will include leading complex analytics initiatives, designing and implementing core modeling components, building predictive models, and applying AI and machine learning techniques to drive insights and decision-making. You will collaborate with various stakeholders across Marketing, Sales, Finance, IT, and Data Science to embed analytics into core commercial processes.Key Responsibilities:- Lead complex, end-to-end advanced analytics initiatives, owning solution architecture, modeling approach, and execution- Design and implement core modeling components in Python and SQL, setting the technical direction for scalable analytics solutions- Build predictive models, simulations, forecasting, and optimization frameworks for global use- Apply AI, GenAI, and LLMs to professional marketing analytics to drive insight generation, automation, and decision support- Drive hands-on experimentation with LLMs for unstructured data analysis and automation- Define and operationalize measurement, ROI frameworks, and analytical standards across markets- Translate complex analytics outputs into executive decision frameworks and strategic recommendations- Act as a technical thought leader within Global Data Science, influencing best practices and methodologies- Ensure solutions align with enterprise data governance and responsible AI principles- Accelerate adoption of analytics and AI solutions by coaching stakeholders and demonstrating value at scaleQualifications Required:- Education: Bachelors degree in Economics, Statistics, Data Science, Engineering, Business Analytics, or related quantitative fields- Experience: 46 years of experience in Data Science, Advanced Analytics, Marketing Analytics- Technical & Analytical Skills: Strong expertise in Python and SQL, statistical modeling, predictive analytics, and machine learning techniques. Experience with AI, GenAI, and LLM

Keyskills :
PythonSQLStatistical ModelingPredictive AnalyticsForecastingSimulationOptimizationMachine LearningData VisualizationGitHubAirflowSnowflakeKubernetesGenerative AILarge Language Models LLMsFeature EngineeringCloud PlatformsData Infrastru