About ������Ƶ-Palmolive
Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions!

If this is how you see your career, ������Ƶ is the place to be!
Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success.

If you want to work for a company that lives by their values, then give your career a reason to smile...every single day.

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The Experience
In today’s dynamic technology environment, it is an exciting time to be a part of the Global Data Analytics and Advanced Analytics team at ������Ƶ. Our highly insight driven and innovative team is dedicated to driving growth for ������Ƶ Palmolive in this ever-changing landscape.

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What role will you play as a member of ������Ƶ's Analytics team?

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This role involves developing predictive models, simulations, and optimizations to address business challenges, leveraging Machine Learning (ML) and Artificial Intelligence (AI) for scalable solutions.

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It requires managing Pricing and Promotion, Marketing Mix, and Forecasting studies from inception to completion, and presenting clear insights to business teams.

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Additionally, the role demands close collaboration with business teams to build hypotheses, solve business problems, analyze patterns, and drive consumer behavior insights.

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A strong understanding of internal and external data sources, such as Syndicated Market Data and Point of Sales, is crucial to develop and support analytics and insights-based services and solutions.

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The ideal candidate will have experience with statistical data analytics, modeling, and algorithms, and will have worked with large datasets to drive performance and insights reporting.

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Within the Global Data Science and Advanced Analytics team—which consists of Data Scientists, Data Analysts, Analytics Engineers, and Data Visualization Engineers—this role will act as a bridge between the business and the data science teams, identifying use cases for the data scientists and co-developing analytics solutions.

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Who are you...
You are an Analytics Expert working on solving Business Questions and work with Analytics Project team

● Problem-solver, with analytic thinking and ability to draw inferences from data modeling to business actionable
● Who can prioritize multiple work assignments and meet deadlines
● Excellent written and verbal communication.

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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 machine learning models for decision making

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You are a collaborator -
● Work closely with Division/Global Analytics team
● Work with data and analytics specialists across functions to drive data solutions

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You are an innovator -
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Good facilitation and project management skills

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Qualifications
What you’ll need
● Graduation [ BE or BTECH ], BSc. in Economics, B.STAT in Statistics, Masters in Statistics, MSc in Economics, MBA in Business Analytics / Data Science
● 10+ years of experience in driving analytical insights and solutions
● Experience supporting and working with multi-functional teams in a dynamic environment
● Strong 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.

● Strong hands on experience on coding languages Python, SQL, PySpark, SparkR

● Deploying models via GitHub, Airflow, Docker and knowledge of MLOps
● Working knowledge on visualization tools like Domo, Looker
● Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment
● Presentation skills (structuring, storytelling, familiarity with ppts)
● Ability to provide structure and think strategically in complex business context
● Build processes supporting data transformation, data structures, metadata, dependency and workload management
● Ability to independently plan and execute deliveries and be comfortable in a client facing role
● Leading a project team for solutioning predictive models and ad-hoc data needs from internal and external sources

● Advanced english level.

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What you’ll need (Preferred)

● Strong Knowledge of Snowflake, Google Cloud environment components like Cloud Build, Cloud Run, Kubernetes

● Implementation Knowledge of machine learning techniques and their real-world advantages/drawbacks.

● Experience with other cloud services: AWS, Azure, etc

● Working knowledge on visualization tools like Domo, Looker, streamlit

● Implementation Experience with building web applications using Django, Dash, Python Flask, React.js, Angular JS, Plotly

● Experience with third-party data i.e., syndicated market data, Point of Sales, etc.

● Experience working in CPG industry in Data Science and Advanced Analytics roles

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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
������Ƶ 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 complete this should you require accommodation.

#LI-Hybrid

Title: Sr. Analyst, Data Architecture��

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Brief introduction - Role Summary/Purpose :

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• The candidate will collaborate with ������Ƶ Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering.��
• This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI.��
• The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.

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Responsibilities :

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• Design, develop and refine AI-generated text prompts for various applications

• Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs

• Monitor and analyze prompt performance to identify areas for improvement

• Optimize AI prompt generation process to enhance overall system performance

• Stay up-to-date on the latest advancements in AI, natural language processing and machine learning

• Provide support to teams in understanding prompt engineering best practices

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Required�� Qualifications :

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• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

• 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred

• Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms

• Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )

• Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,

• Ability to Read , Analyze and Visualize data��

• Effective Verbal & Written Communication for Business engagement

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Preferred Qualifications:

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• Excellent problem-solving and analytical skills

• Ability to collaborate effectively with cross-functional teams

• Working knowledge of consumer packaged goods industry

• Understanding of ������Ƶ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniques��

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, 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 complete this should you require accommodation.

#LI-Hybrid

Title: Senior Specialist, Global Data Science

Brief introduction - Role Summary/Purpose:

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• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The��Data Scientist��position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning,��predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

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Responsibilities:

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• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

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Required�� Qualifications:

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

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Preferred Qualifications:

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

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Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

Title: Senior Data Scientist, Global Data Science

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Brief introduction - Role Summary/Purpose (3-4 sentences max.):

��

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The��Data Scientist��position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning,��predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

��

��

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Responsibilities (4-6 bullet points):

��

• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Required�� Qualifications (3-5 bullet points):

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

��

Preferred Qualifications (3-5 bullet points):

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

��

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

Title: Senior Specialist, Global Data Science

Brief introduction - Role Summary/Purpose:

��

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The��Data Scientist��position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning,��predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

��

��

��

Responsibilities:

��

• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

��

Required�� Qualifications:

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

��

Preferred Qualifications:

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

��

��

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

Title: Senior Specialist, Global Data Science

��

��

Brief introduction - Role Summary/Purpose (3-4 sentences max.):

��

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

��

��

��

Responsibilities (4-6 bullet points):

��

• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Required�� Qualifications (3-5 bullet points):

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

��

Preferred Qualifications (3-5 bullet points):

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

��

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

Title: Senior Specialist, Global Data Science

Brief introduction - Role Summary/Purpose:

��

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The��Data Scientist��position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning,��predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

��

��

��

Responsibilities:

��

• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

��

Required�� Qualifications:

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

��

Preferred Qualifications:

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

��

��

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

Title: Senior Data Scientist, Global Data Science

��

Brief introduction - Role Summary/Purpose (3-4 sentences max.):

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ������Ƶ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.��

• The��Data Scientist��position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning,��predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ������Ƶ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects��

��

Responsibilities (4-6 bullet points):

��

• 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

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations��

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL��

• Present insights in an easy to interpret way to the business teams��

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Required�� Qualifications (3-5 bullet points):

��

• 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 statistical�� 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) and SQL

• Knowledge of using GitHub, Airflow for coding and model deployments��

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

Preferred Qualifications (3-5 bullet points):

��

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• 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.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

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Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

#LI-Remote

This role is a part of the North America Sales & RGM Analytics team. This team is a strategic part of our 2030 vision and will enable a step change in driving ������Ƶ Palmolive’s ability to leverage data as a strategic asset.�� Within this team, you will support strategies of the RGM team with analytical tools and insights. In this role, you will bring your experience in data analytics and statistical modeling to help identify revenue growth opportunities, optimize pricing & promo strategies, and improve overall profitability.

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Responsibilities:��

• Analyze large datasets to extract insights on market trends, competitive shifts in strategy, and revenue drivers

• Use statistical techniques to interpret data, identify patterns, and generate actionable insights

• Leverage price and promotion elasticities and conduct what-if simulations to assess potential pricing strategies.

• Work with internal teams and external partners to help develop and implement predictive models to optimize price and promotion strategies and assortment mix����

• Refine and improve these models based on feedback and actionability of insights

• Work with cross-functional teams to align on tactics and strategies to implement

• Monitor implementation and effectiveness of revenue growth initiatives

• Stay updated with the latest analytical tools, technologies and approaches to enhance effectiveness of advanced analytics initiatives

• Manage offshore support teams to develop and disseminate pricing dashboards that enable the organization to track and assess pricing dynamics quickly and easily

• Perform competitive SWOT analyses, particularly in regard to everyday and promotional price points

• Collaborate with Marketing and RGM teams to align on potential pricing moves with a constant lens on Brand strategies

• Collaborate with Sales to identify both distribution and co-promotional risks and opportunities

• Collaborate with Finance to assess financial KPIs that accompany various pricing scenarios

Required Qualifications:

• Bachelors Degree in Statistics, Economics, Data Analytics, Data Science, or related field

• 7+ years of experience in CPG��

• Expertise in Advanced Analytics - in particular with relation to Price&Promo elasticity models and Assortment models/strategies

• Proficiency in the analysis of syndicated data (Nielsen/IRI) and the application of syndicated data to examine and interpret prevailing market trends.

• Ability to leverage expansive datasets to develop insights on pricing strategies & tactics to craft commercial sell-in stories

• Advanced knowledge of spreadsheets (MS Excel/Google Sheets) and slides (MS PowerPoint/Google Slides)

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Preferred Qualifications:

• Experience managing or strategizing with trade rates��

• Familiarity with reading Brand P&Ls��

• Strong interpersonal skills and a desire to work cross functionally

• Ability to exhibit thought leadership and influence senior team members

• Self-starter initiative to seek out opportunities to grow the business through pricing and/or promotional tactics

Compensation and Benefits
Salary Range $120,000.00 - $157,000.00 USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ 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 complete this should you require accommodation.

For additional ������Ƶ terms and conditions, please click .

#LI-Hybrid

Title: Senior Analyst��

Brief introduction - Role Summary/Purpose:

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• Join our analytics team at ������Ƶ-Palmolive, where you’ll focus on social media and eCommerce data. Use your analytical skills to monitor risk, track trends, measure campaign effectiveness, and provide insights that help us improve our digital presence and online customer experiences.

• This is a collaborative, hands-on role where you'll need to be great at social media, digital analytics, and managing data. Plus, strong communication with stakeholders is key!

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Responsibilities:

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• Monitor, analyze, and report on brand reputation, risks, sentiment, influencer activity, and the effectiveness of social media campaigns across multiple digital channels.

• Support senior management by providing risk and issue reports with key metrics and insights for strategic decisions.

• Support internal teams on social media and digital data management, driving continuous process improvements and automation.

• Generate and deliver clear, data-driven reports either directly or from eCom lead (eg: from 3rd party sources CIQ or Profitero) using visualization tools in Looker Studio / DOMO / Sigma to communicate key findings, trends, and actionable recommendations.

• Collaborate with global and local teams to deliver data solutions, integrate media performance data, and support advanced analysis using Snowflake, GA4 - extracts from relevant 3rd party platforms to provide to Analytics Partners for Marketing Mix Modeling, A/B tests, etc.

• Stay up to date on relevant data privacy regulations (such as General Data Protection Regulation - GDPR) and ensure compliance in all digital and data activities.

• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Insights and Analytics

• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis

• Data Quality and Sanity is essential so validating the data, trackers and dashboards is prime

• Communicate and coordinate with Divisions and subsidiaries as part of investigation and resolution of discrepancies

• You will engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions

• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers

• Partner with external data vendors to ensure timely data availability with appropriate data sanity��

• With constantly evolving business environment, you will find out different ways to tackle the business problem through Analytical solutions (Data transformation, Data Visualization, Data Insights)

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Required�� Qualifications:

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• Graduate in Mass Media, Management Studies, Data Science, Business Analytics, Marketing, or a related field.

• Minimum 2-3 years experience working in Data Insights / Analytics role

• Proficient with social media management/monitoring tools and digital analytics platforms; strong Excel and Google Workspace skills.

• Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis

• Working knowledge of consumer packaged goods industry

• Ability to Read , Analyze and Visualize data��

• Effective Verbal & Written Communication for Business engagement

• Excellent presentation/visualization skills

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Preferred Qualifications:

��

• Knowledge of Data Transformation tools - R/Python, Snowflake

• Working knowledge of visualization tools like Tableau, DOMO, Lookerstudio, Sigma��

• Created/worked on automated Insights solution��

• Worked on Competition Intelligence solutions like Emplifi, Brandwatch, Sprinklr, Talkwalker, Synthesio, Profitero, Stackline, SEMrush, SimilarWeb, Salesforce Marketing Cloud

• Understanding of ������Ƶ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniques��

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives ��to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
������Ƶ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, 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 complete this should you require accommodation.

#LI-Hybrid