Sr. Specialist, Decision Analytics

Relocation Assistance Offered Within Country

Job Number #165135 - 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. Together, let's build a brighter, healthier future for all.

About Colgate-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, Colgate is the place to be!

Our diligent 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 chipped in 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.

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 constantly evolving landscape.

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

The CBS Analytics vertical in Colgate Palmolive is passionate about working on 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 Efficiency, 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
• 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(mandatory), R, SQL, PySpark, SparkR
• Knowledge of using GitHub, Airflow for coding and model executions
• Leading, redefining, developing statistical models for RGM/Pricing and/or Marketing Efficiency and communicating insights decks to business
• Confirmed understanding 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.
• Proven 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: 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 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 complete this request form should you require accommodation.