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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 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, Hill's Prescription Diet and Hill's Ideal Balance.

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:  Senior Data Scientist

Travel Required?:  No Travel
Date:  May 28, 2021
Remote working option during the current situation

Relocation Assistance Offered Within Country
# 95044 - Mumbai, Maharashtra, India


What is the PURPOSE of your role?


This role is expected to apply strong expertise in data science and machine learning through leading  data collection & mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. The ideal candidate will be experienced with 1) statistical and mathematical techniques to identify trends & anomalies, identify causal impacts,  and develop predictions, 2) experimental design, 3) end-to-end model deployment and maintenance, 4) simple data engineering tasks like SQL querying for standard and ad-hoc data analysis, and 5) co-leading a small, multidisciplinary analytics team to generate actionable insights from internal client-facing analytics solutions.  The ideal candidate will be a strong communicator with the ability to tell stories and draw insights from complex transformations of data for non-technical audiences.  This role will work with an analytics translator, junior data scientist, data engineers, and key business partners to define the business problem in a way that can be solved analytically.  Candidates in this role will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business.


Core responsibilities of this role


  • Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists
  • Co-develop an analytics roadmap for the business domain to which you are assigned
  • Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results
  • Integrate data science work into user-facing applications and tools with data engineers, business leads, analysts and developers
  • Build, deploy, maintain, and refresh end-to-end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Identify and/or create new data as needed for use cases with limited data
  • Work with data engineers to clean, massage, and organize data and to define data assets, eg, data models
  • Lead the creation of analytical (e.g., code libraries & ML architecture) and data (e.g., external or partnership based data) assets
  • Where needed, generate experiments on data using the scientific method, story-tell experimental results, and provide previously undiscovered solutions to data challenges
  • Be the expert in the room on industry and field trends to push analytic builds towards best practices and state-of-art, as needed
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners
  • Integrate work into applications and tools with junior data scientists, data engineers, business leads, analysts and developers
  • Explain principles and approaches to business partners and senior management in a non-technical manner


What expertise are we looking for? 




  • Academics: Degree in in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics, or other analytical field.  PhD/Masters preferred.


  • Prior Experience:
    • Minimum 6+ years’ experience in programming Languages - Python, R, C++, and/or Java
    • Preferred: Experience co-leading or leading a multidisciplinary team
    • Preferred: Use case experience with demonstrated success in the sales analytics/ eCommerce domain


  • Technology Expertise
    • Proven experience in translating business challenges into data pipelines & model framework
    • Demonstrated expertise with supervised and unsupervised modeling- including regressions, classifications, feature selection, clustering, decision tree/forest learning, SVM,  ensembling & stacking, dimensionality reduction and more
    • Strong proficiency with Bayesian statistics, causal inference, Q-learning, temporal difference, GANs, multi-armed bandits, and mor
    • Strong proficiency in natural language processing and computer vision techniques
    • Expertise with data visualization techniques & tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc
    • Demonstrated experience with large datasets and distributed computing (Hive/Hadoop, Spark)
    • Demonstrated experience with statistical tools or packages (eg R, RapidMiner, SciKit) and ML frameworks (eg TensorFlow, Theano, Keras, MLlib)
    • Proficiency or familiarity with relevant database/data engineering needs including:
      • Real-time data processing frameworks
      • Metadata systems
      • Data pipeline monitoring systems
      • SQL implementations (PostgreSQL, MySQL, Oracle, DB2) 
      • ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)



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.

Are you interested in working for Colgate-Palmolive? You can apply online and attach all relevant documents such as a cover letter and resume or CV. Applications received by e-mail are not considered in the selection process. Become part of our team. We look forward to your application.

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom’s of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet and Hill’s Prescription Diet. 

For more information about Colgate’s global business, visit the Company’s web site at To learn more about Colgate Bright Smiles, Bright Futures® oral health education program, please visit To learn more about Hill's and the Hill’s Food, Shelter & Love program please visit To learn more about Tom’s of Maine  please visit

Reasonable accommodation during the application process is available for persons with disabilities. Please contact with the subject "Accommodation Request" should you require accommodation.

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