Add office photos

Colgate Palmolive

Compare

based on 832 Reviews

Video summary

50 Colgate Palmolive Jobs

Sr. Specialist, Data Science

Colgate-Palmolive (India)

based on 832 Reviews

5-8 years

Mumbai

1 vacancy

Sr. Specialist, Data Science

Colgate Palmolive

posted 17d ago

Flexible timing

Key skills for the job

+ 3 more

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

You connect the dots -

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

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

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

What you ll need (Preferred)

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)