Job Title:  Sr. Data Scientist

Relocation Assistance Offered Within Country
# 159391 - Mumbai, Maharashtra, India

Who We Are
Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.

We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.

If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team!
 

About Us

Would you like to be part of a team that is building a future to smile about? What about having the opportunity to collaborate with teams across the world, full of 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 passionate about building a future to smile about for our employees, consumers, and surrounding communities. We, at Colgate, take immense pride in our brand which fuels our workplace to encourage innovative thinking, champion experimentation, promote authenticity and thus contribute 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 !

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
  • 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
• Preferred
  • Academics: PhD/Masters preferred
  • Use case experience with demonstrated success in the sales analytics/ eCommerce domain

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)

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Our Commitment to Sustainability
With the Colgate brand in more homes than any other, we are presented with great opportunities and new challenges as we work to integrate sustainability into all aspects of our business and create positive social impact. We are determined to position ourselves for further growth as we act on our 2025 Sustainability & Social Impact Strategy.

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 contact Application_Accommodation@colpal.com with the subject "Accommodation Request" should you require accommodation.

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