Senior Data Scientist

1 week ago

Mumbai, Maharashtra, India Colgate-Palmolive Company Full time
About Colgate-Palmolive

Colgate-Palmolive Company is a global consumer products leader operating in over 200 countries, specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our trusted brands are found in more households than any other brand worldwide.

We are 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.

The Role

In today's dynamic analytical / technological environment, it's an exciting time to be part of the GLOBAL ANALYTICS team at Colgate. Our highly insight-driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape.

The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical focuses on working on cases with big $ impact and scope for scalability, addressing business questions with recommended actions. As a Senior Data Scientist, you will lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum.

You will conceptualize and build predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value. Your expertise will drive scalable solutions across the business, leveraging machine learning and AI algorithms to build inferential and predictive models.

Your Responsibilities
  • Lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum
  • Conceptualize and build predictive modeling, simulations, and optimization solutions to address business questions or use cases
  • Apply ML and AI to analytics algorithms to build scalable solutions
  • Deploy models using Airflow, Docker on Google Cloud Platforms
Your Qualifications
  • BE/BTECH [Computer Science, Information Technology preferred], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics
  • 5+ years of experience in building data models and driving insights
  • Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.
  • Strong understanding of cloud frameworks, Google Cloud, Snowflake, and services like Kubernetes, Cloud Build, Cloud Run
What We Offer

We offer a competitive salary range of $120,000 - $180,000 USD per annum, determined based on experience, qualifications, and location. Additionally, salaried employees may be eligible for discretionary bonuses, profit-sharing, and long-term incentives.

Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements.

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