Assistant Manager, Global Data Science

Relocation Assistance Offered Within Country
Job Number#167664 - Mumbai Maharashtra India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing 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 valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets build a brighter healthier future for all.

Title: Assistant Manager Global Data Science

Brief introduction - Role Summary/Purpose:

• 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.

• 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.

• This position involves close collaboration with the capability center Division Analytics and business teams to understand needs prioritize projects and deliver relevant analytics solutions.

• 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:

• Leads the scoping and delivery of Pricing Promotion and Marketing Effectiveness analytics including conceptualizing and building predictive models machine learning algorithms and optimization solutions.

• Plays a key role in the governance and continuous improvement of internal analytics solutions collaborating with other Advanced Analytics Pods.

• 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.

• Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions.

• 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.

• 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.

• 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:

• Educational Background & 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.

• 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.

• MLOps & 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 data sources.

• Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling Revenue Growth Management Optimization Forecasting and Marketing Analytics preferably in CPG or consulting with the ability to think strategically in complex business contexts.

• Client-Facing & Communication Skills: Proven experience in a client-facing role supporting multi-functional teams with exceptional communication collaboration presentation and storytelling skills to convey insights to business stakeholders.

• Project Leadership & Execution: Ability to independently plan and execute deliveries lead project teams for predictive modeling and ad-hoc data needs and build processes for data transformation and management.

Preferred Qualifications:

• Proficient in building web applications using frameworks like Pydash Plotly R Shiny Streamlit Django Dash Python Flask or Angular JS.

• Experienced with advanced AI and machine learning concepts including Deep Learning Reinforcement Learning Image Recognition GenAI and understanding the real-world application of various ML techniques.

• Strong knowledge of cloud environments and MLOps tools including Databricks Docker Azure Data Factory machine learning APIs (Azure AWS Vertex AI) Snowflake and Google Cloud components (Cloud Build Cloud Run Kubernetes).

• Familiar with data visualization tools (Domo Looker Streamlit) working with third-party data (syndicated market data Point of Sales) and has experience in Data Science roles within the CPG industry ideally in relevant geographies.

Our Commitment to Inclusion
Our journey begins with our peopledeveloping strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self is treated with respect and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion gender gender identity sexual orientation national origin ethnicity age disability marital status veteran status (United States positions) or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

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