Assistant Manager, Global Data Science, RGM And MMM

Relocation Assistance Offered Within Country
Job Number170634 : Mumbai, Maharashtra, India
Who We Are
Colgate:Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name
Join Colgate:Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, lets build a brighter, healthier future for all.
Brief introduction : Role Summary/Purpose
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The Global Data Science team at Colgate:Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness.
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To meet increasing demand, new geographically based Advanced Analytics Pods are being created, with this role leading the Europe and Africa Eurasia Pod and managing six data scientists.
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This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions.
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The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact.
Responsibilities
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Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions.
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Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods.
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Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science.
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Develops and manages visualization deliverables and web applications to enable self:service analytics and diagnostics for various functions.
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Writes SQL and Python code to build and deploy scalable enterprise:level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes.
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Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data.
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Collaborates effectively with cross:functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders.
Required Qualifications
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Educational Background and Experience: Requires a Bachelors degree (Masters/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7 years in data science and analytics, including 2 years managing/setting up a data science team.
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Advanced Technical Expertise: Strong hands:on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R.
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MLOps and Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high:volume, varied d
Job Type: Permanent