Sr. Specialist, Decision Analytics
1 month ago
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.
Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.
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, Decision AnalyticsTravel Required?: Travel - up to 10% of time
Date: Aug 5, 2024
Hybrid
Relocation Assistance Offered Within Country
# 161778 - Mumbai, Maharashtra, India
In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the Analytics team at Colgate. Our highly insight-driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape.
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 functional 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.
What you’ll need…
- Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science
- 1+ 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, R, SQL, PySpark, SparkR
- 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)
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