Relocation Assistance Offered Within Country
Job Number #173498 - Mumbai, Maharashtra, India
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising 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.
What is the purpose of this 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. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.
Why is this exciting?
You 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. So if you are an experienced Data Scientist passionate about collaborating with cross-functional teams, tackling real-world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you to apply.
What would be the responsibilities for 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
Explain principles and approaches to business partners and senior management in a non-technical manner
What does the ideal candidate profile look like?
Required:
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Atleast 3yrs+ work experience in any FMCG / CPG oragnisation
Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields
Minimum 6+ years’ experience in programming Languages - Python, R
What are the functional competencies required for this role?
SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
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
Fundamental understanding of Bayesian statistics and causal inference
Strong proficiency in NLP (natural language processing)
Expertise with data visualization techniques & tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc
Demonstrated experience with large datasets and distributed computing (eg Spark)
Demonstrated experience with statistical tools or packages (eg SciKit) and ML frameworks (eg TensorFlow / PyTorch)
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)
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
Colgate 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 request form should you require accommodation.
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