Who We Are
Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.
We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.
If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team!
Job Title: Sr. Specialist, Decision Analytics Travel Required?: No Travel
Date: Oct 7, 2024
Hybrid
No Relocation Assistance Offered
# 163141 - Mumbai, Maharashtra, India
The Experience
In today’s dynamic analytical/technological environment, it is an exciting time to be a part of the CBS Analytics team at Colgate. Our highly insight-driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape.
What role will you play as a member of Colgate's Analytics team?
The CBS Analytics vertical in Colgate Palmolive is focused on working on business cases 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 CBS 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 manage 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 Analytics projects 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
You connect the dots -
Drive insights from internal and external data for business
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
You are a collaborator -
Work closely with Division Analytics team leads
Work with data and analytics specialists across functions to drive data solutions
You are an innovator -
Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Qualifications
What you’ll need
Graduation/Masters in Statistics/Applied Mathematics/Computer Science
3+ years of experience in building data models and driving insights
Hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.
Hands-on experience on coding languages Python (mandatory), R, SQL, PySpark, SparkR
Knowledge of using GitHub, Airflow for coding and model executions
Managing, transforming, developing statistical models for RGM/Pricing and/or Marketing Effectiveness and presenting insights decks to business
Working knowledge on tools like Tableau, 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
What you’ll need…(Preferred)
Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
Working knowledge 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: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc
Willingness and ability to experiment with new tools and techniques
Good facilitation and project management skills
Ability to maintain personal composure and thoughtfully handle difficult situations.
Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc)
Our Commitment to Sustainability
With the Colgate brand in more homes than any other, we are presented with great opportunities and new challenges as we work to integrate sustainability into all aspects of our business and create positive social impact. We are determined to position ourselves for further growth as we act on our 2025 Sustainability & Social Impact Strategy.
Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.
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 contact with the subject "Accommodation Request" should you require accommodation.
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