Sr. Specialist, Data Science
Job details
Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.
Job Title: Sr. Specialist, Data Science
Travel Required?: No Travel Date: Feb 15, 2025 Remote Relocation Assistance Offered Within Country Job Number#165399 - 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 values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & sophisticated ANALYTICS vertical in Colgate Palmolive is focused on working on reasons which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value. The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting. Who are you… You are a function expert -- Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum.
- Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases.
- Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business.
- Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built.
- Deploys models using Airflow, Docker on Google Cloud Platforms.
- Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation.
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
- Build data and visualization tools for Business analytics to assist them in decision making.
- Work closely with Division Analytics team leads.
- Work with data and analytics specialists across functions to drive data solutions.
- Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- BE/ BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics.
- 5+ years of experience in building data models and driving insights.
- Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.
- Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR.
- Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run.
- Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms.
- Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql.
- Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment.
- Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness.
- Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
- Solid understanding of consumer packaged goods industry.
- Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc.
- Willingness and ability to experiment with new tools and techniques.
- Ability to maintain personal composure and thoughtfully handle difficult situations.
- Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc).
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