Data Scientist
New York, NY, US
Full Time Mid-level / Intermediate USD 81K - 114K
Colgate-Palmolive
Colgate-Palmolive products are trusted by millions around the globe to care for their families and homes. Learn about our products, stocks, and careers.
No Relocation Assistance Offered
Job Number #163828 - New York, New York, United States
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.
Colgate-Palmolive is reimagining traditional business processes and improving them by harnessing the power of Artificial Intelligence. In Global analytics and insights, we work to deliver AI connected solutions to relevant business questions for the global Colgate-Palmolive community. Data Scientists help build, orchestrate, and translate predictive GenAI models for the global team. If you are looking for a high impact position that directly affects the way Colgate sells products, this Data Scientist role is for you. This position is hybrid and can be based in New York or Piscataway, NJ.
Main Responsibilites:
- Data Analysis & Modeling
- Analyze structured and unstructured datasets to discover insights
- Orchestrate LLMs for commercial and innovation use cases
- Develop sophisticated feature engineering
- Build ML Ops and/or LLM Ops pipelines
- AI Strategy
- Help drive the culture of data driven decision making throughout the company
- Stay up to date with the latest trends in the AI community to suggest new methods for developing and existing projects
- Customer Engagement
- Partner with business teams to understand their needs, struggles, and general processes
- Communicate technical findings to diverse sets of audience
- Team Collaboration
- Collaborate with other data scientists, data engineers on project
Required Qualifications
- Bachelor's Degree
- At least 3 years of data analytics / programming experience
- Proficiency with GitHub and CI/CD
- Expertise in at least one analytical language: Python, Julia, R
- Experience with common data science packages, such as Pandas, NumPy, and scikit-learn
- Expertise in data querying languages such as SQL
- Proficiency with statistical concepts such as descriptive analysis, experimental design, Bayesian statistics and regression
- Proficiency with machine learning techniques such as clustering, tree-based methods, temporal difference and neural networks
- Visualizing and communicating data for customers using: plotly, seaborn, ggplot, etc
- Ability to work with cloud data architectures
- Experience with tuning of Large Language Models, RAG chatbots, document retrieval, agentic workflows
Preferred Qualifications
- Consumer Goods Industry Experience
- Master's Degree in Mathematics, Statistics, Computer Science, or Physical Sciences with 3-5 years of work experience
- PhD in Mathematics, Statistics, Computer Science, or Physical Sciences with 0-2 years of work experience.
Compensation and Benefits
Salary Range $81,000.00 - $114,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: 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. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
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.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid
Tags: AI strategy Architecture Bayesian Chatbots CI/CD Clustering Computer Science Data analysis Data Analytics Engineering Feature engineering Generative AI GitHub Julia LLMOps LLMs Machine Learning Mathematics NumPy Pandas PhD Pipelines Plotly Python R RAG Scikit-learn Seaborn SQL Statistics
Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Parental leave Startup environment
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