Title: Senior Principal Scientist - Spectroscopy Location: Piscataway, NJ, US Department: Research & Development Job Description: Travel Required: Travel - up to 10% of time Hybrid No Relocation Assistance Offered Job Number #173393 - Piscataway, New Jersey, 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. As a Principal Scientist you will serve as a central technical resource supporting the entire global Colgate-Palmolive portfolio by developing and validating state-of-the-art analytical platforms to characterize complex product matrices. Operating within the global R&D organization, you will act as the technical arbiter of "Truth," ensuring that every chemical claim made by Marketing is backed by statistically rigorous, peer-reviewed-quality data. This role offers an exciting opportunity to spearhead Lab 4.0 digital transformations, run advanced competitive teardowns, and defend the company's intellectual property. Your primary objective will be to provide flawless analytical characterization that guarantees formulation parity, regulatory compliance, and consumer safety across all product categories. Responsibilities - Advanced Method Development: Designs and validates novel analytical protocols for active and critical inactive ingredients, stabilizers, and sensory molecules using high-resolution LC/GC MS and NMR technologies. - Crisis Chemistry & Forensic Analysis: Leads proactive monitoring and "Rapid Response" forensics for trace contaminants, conducting root-cause analysis on stability failures or manufacturing deviations to ensure safety amid supply chain shifts. - Deformulation & Competitive Intelligence: Conducts competitive product teardowns to break down rival formulations to their base molecules, utilizing non-targeted analysis (NTA) workflows to structurally identify unknown components, and evaluates optimized ingredients from new suppliers to ensure absolute formulation parity. - Claim Substantiation & Legal Defense: Partners with Marketing and Legal teams to transform analytical results into "Visual Science" for claim validation, ensuring all methods meet AOAC, USP, or ISO standards to remain legally unassailable. - Lab 4.0 & Digital Transformation: Evaluates high-throughput tools, oversees the implementation of MS Imaging platforms, and collaborates with Digital R&D to build automated data processing pipelines, feeding mass spec chemometric and big data into predictive Machine Learning models. - Sustainable Packaging Interface: Develops standardized methodologies including ultra-trace extractables and leachables (E&L) screening to investigate chemical interactions between formulas and new sustainable or recycled packaging materials to ensure zero migration of impurities. Required Qualifications - PhD in Analytical, Organic, or Medicinal Chemistry - 10 years of advanced laboratory experience. - Expert-level knowledge of High-Resolution LC-MS and GC-MS for content quantification and structure elucidation. - Technical proficiency in spectroscopic techniques including FTIR, Raman, and NMR as supporting tools for understanding molecular interactions within a formula. - Proven experience working within a GxP (GLP/GMP) regulated environment with a strong understanding of data "Chain of Custody" protocols. Preferred Qualifications - Specialized experience in Microbiome Analytics, including metabolomics or analyzing bacterial metabolites in complex biological samples. - Demonstrated background in "Green Chemistry" analytics, such as assessing the biodegradability of surfactants or the purity of post-consumer recycled packaging. - Strong collaborative capacity to translate complex analytical big data into actionable business strategies for cross-functional stakeholders. - Proven ability to support IP activities and patent filings by providing detailed molecular characterization data for new entities. Compensation and Benefits Salary Range $124,000.00 - $180,000.00 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 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, 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. #LI-Hybrid

Role Description Estamos em busca de um(a) Cientista de Dados Sênior para atuar em projetos de análise avançada de dados, modelagem estatística e desenvolvimento de soluções preditivas voltadas para otimização de processos industriais. O profissional será responsável por transformar dados em insights estratégicos, apoiar a tomada de decisão e desenvolver modelos que contribuam para a melhoria contínua dos processos. Qualifications - Formação superior em áreas como Ciência de Dados, Estatística, Engenharia, Matemática, Computação ou áreas correlatas. Requirements - Experiência sólida em: - Estatística aplicada e análise de dados; - Programação em Python; - Excel avançado; - Desenvolvimento em VBA; - Análises exploratórias e estatísticas; - Modelos preditivos (regressão e técnicas correlatas); - Simulação por Eventos Discretos. - Capacidade analítica e de resolução de problemas complexos. Benefits - Conhecimento ou experiência no segmento de Celulose e Papel. - Experiência com Análise por Elementos Finitos (FEA - Finite Element Analysis). - Conhecimento em Dinâmica dos Fluidos Computacional (CFD - Computational Fluid Dynamics). - Experiência em ambientes industriais e processos produtivos. Competências Comportamentais - Pensamento analítico e crítico. - Proatividade e autonomia. - Facilidade para trabalhar em equipe multidisciplinar. - Boa comunicação para apresentação de resultados técnicos e executivos. - Perfil investigativo e orientado a dados.

Role Description You will design and develop software and data science products that provide electricity utilities key insights into the state and operation of their grids. Your work will help to build up the picture of how grids can be managed more efficiently and dynamically, paving the way for the connection of more renewables, sooner. - Design, build, and maintain software products and data science models capable of detecting, characterising or predicting key components, properties and events of electricity grids. - Obtain data from disparate sources to inform and support modelling, by performing data discovery and/or developing automated retrieval pipelines as needed. - Ensure software and model capabilities, coverage and performance align with customer requirements, directly engaging with customers from time to time in order to do so. - Collaborate with Software Engineers, Data Engineers, and other Product teams to understand data science requirements and translate them into technical solutions. - Establish and follow data, scientific, MLOps and software engineering best practices including testing, validation, documentation, monitoring, version control and code reviews. - Contribute to data science strategy and architectural decisions. Qualifications - 3+ years in data science roles with demonstrable impact. PhD not required, but completion of a doctorate with a relevant focus on data science – especially Bayesian methods – may be counted towards this requirement. - Proficiency in Python or similar language, architecture, system design, version control, testing practices, code review, CI/CD. - Mathematical modelling, numerical methods, applied statistics. - Experience developing, training, testing and validating machine learning models, as well as deploying them to production. Requirements - Experience with Bayesian methods (parameter estimation, hierarchical modelling, sampling, etc). - Experience with Monte Carlo methods. - Experience in energy, utilities, or IoT/sensor data domains. - Experience building data products for customer consumption. - Experience delivering software/data products to customers, and iterating based on their feedback. - Experience discovering and integrating diverse data sources into complex modelling pipelines, both ML and otherwise. - Experience designing and implementing agentic workflows. - Experience optimising Python workflows, e.g. via parallel/distributed solutions or development of interfaces to optimised lower-level libraries. - Experience working in remote or distributed teams. - Data governance or compliance experience in regulated industries. Benefits - Competitive salary and equity package. - Remote-first, with head office in Sydney. - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter. - A role with clear growth pathways into product and tooling, or deeper customer ownership.

• Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. • Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. • Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.