About this role
Colgate-Palmolive’s Global Data Science team builds and deploys analytics solutions for business growth. Based in Mumbai and designated remote, this role leads the Europe and Africa Eurasia Advanced Analytics Pod, managing six data scientists. Its focus is pricing, trade promotion efficiency and marketing effectiveness across the company’s consumer products businesses.
Responsibilities
- Scope and deliver pricing, promotion and marketing effectiveness analytics, including predictive models, machine learning algorithms and optimization solutions. Build scalable enterprise solutions such as Marketing Mix Modeling and Revenue Growth Management using SQL and Python on cloud platforms.
- Govern and continuously improve internal analytics solutions with other pods. Integrate internal and external data, manage large datasets, and develop visualizations and web applications for self-service analytics and diagnostics.
- Translate complex findings into actionable business recommendations. Work with the capability center, Division Analytics, business teams, GIT, Data Architecture and Analytics Engineering to prioritize projects, support change management and present insights across geographies and time zones.
- Lead, mentor and coach the pod; oversee the quality of recommendations and solutions deployed globally.
Required qualifications
- Bachelor’s degree in a quantitative or technical field such as Data Science, Engineering, Statistics or Economics; 7+ years in data science and analytics, including 2+ years managing or setting up a data science team. A master’s degree or MBA is preferred.
- Hands-on experience developing and deploying production statistical and machine learning models, including regression, Random Forest, XGBoost and clustering; expert Python, SQL, PySpark and R skills.
- Experience with MLOps practices and tools including GitHub, Airflow, Docker, Kubernetes, Databricks and Dataiku; Google Cloud and Snowflake; and high-volume, varied data sources. Expertise in Marketing Mix Modeling, Revenue Growth Management, optimization, forecasting and marketing analytics is required, preferably gained in CPG or consulting.
- Client-facing communication, collaboration, presentation and storytelling skills, plus the ability to independently plan deliveries, lead project teams and build data transformation and management processes.
Preferred qualifications include web application frameworks such as Plotly, R Shiny, Streamlit, Django, Dash, Flask, React.js or Angular JS; advanced AI techniques including deep learning, reinforcement learning, image recognition and generative AI; additional cloud and MLOps tools; visualization tools; third-party market and point-of-sale data; and CPG data science experience in relevant geographies. No travel is required. Relocation assistance is offered within the country.