Relocation Assistance Offered Within Country

Job Number #166101 - 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 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.

The Experience

The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets.

The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams,

The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting.

The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations.

The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial.

The candidate should be an analytical problem solver and be proactive and responsive to Business needs

Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders.

Who are you

You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team
• An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics
• Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow
• Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives
• End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally
• You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines
• Excellent written and verbal communication.
• Good facilitation and project management skills

You connect the dots -
• Understands business needs, business questions and identifies the right analytics capabilities to solve them
• Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads
• Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders

You are a collaborator -
• Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions
• Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones.

You are an innovator -
• Drive new value from insights by connecting external and internal data sources
• Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc.

Qualifications

What you’ll need
• Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics)
• 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment
• Experience in setting up or managing a data science team is a must [ 2+ years ]
• Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies
• Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc
• Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform
• Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data)
• Experience in supporting and working with multi-functional teams in a dynamic environment
• Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools
• Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity
• Ability to independently plan and execute deliveries and be comfortable in a client / business facing role
• Exceptional communication & collaboration skills to understand business partner needs & deliver solutions.

What you’ll need (Preferred)
• Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit
• Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI
• Experience with Databricks, Docker, Azure Data Factory
• Experience with machine learning API on cloud services: Azure, AWS, Vertex AI

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.

#LI-Remote