Title: Data Scientist Location: Newark United States Requisition: 83848 Hybrid Job Description: Salary Range: $ 79,400 - $ 125,600 Work Location Category: Hybrid Flexible We're one of the country's largest energy companies, with a vision of powering a future where people use energy more efficiently and it's safer and delivered more reliably than ever. We're also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day. Here, you'll have the stability and exciting opportunities that come with being a Fortune 500 company - along with a supportive, friendly work environment where your contributions are valued. We know life isn't one-size-fits-all, and neither is work. That's why we offer flexible work options depending on the role. In support of this model, roles have been categorized into one of three work location categories: - Onsite - roles where employees are expected to be onsite daily. - Hybrid fixed - roles that are a mix of remote work and onsite work fixed days each week - Hybrid flexible - roles that are a mix of remote work and onsite work, but the onsite requirements have greater flexibility. (i.e. 5-8 days a month vs. set days each week). As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being: medical, dental, vision, parental leave and family leave programs, behavioral health programs, 401(k) with company match, life insurance, tuition reimbursement, and generous paid time off. More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you're looking for a place where you can build a meaningful career and help power and support our communities, we'd love to welcome you to the team. PSEG is not offering visa sponsorship for this position. Job Summary At this time, only current PSEG employees are being considered. We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, AI/ML development, data visualization, data modeling, and data engineering, with hands-on experience in AWS cloud services, Python programming, and Power BI. You'll play a key role in transforming raw data into actionable insights that drive strategic decisions across the organization. This includes collaborating with cross-functional teams within Customer Analytics and IT to build analytics solutions, including AI/ML models, for Customer Solutions, identifying trends and patterns to determine friction points in a customer's journey, analyzing patterns in customer behavior, and determining solutions to improve customer experience. Job Responsibilities - Collect, summarize, analyze, and deliver insights and data products utilizing data across multiple data sources. - Identify valuable data sources and assist in optimization of data pipelines to ensure data quality, integrity, and security. - Transform data to uncover patterns, develop trends, and define analytics solutions, including AI/ML solutions, that support decisions related to initiatives regarding improving customer experience. - Deliver insights that contribute to improvements by analyzing operational and non-operational data. - Apply statistical analysis and data mining techniques to validate assumptions and build scenarios. - Interpreting the data to discover solutions, identify opportunities and support decision making. - Effectively communicate results and insights to subject matter experts and cross-functional teams. - Support business adoption of technology solutions. Job Specific Qualifications - Bachelor's degree in data science, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or related field. - 2-5 years' knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms. - 2-5 years' experience using query languages (SQL) and developing and maintaining ETL workflows using SQL Server Integration Services (SSIS). - 2-5 years' experience leveraging AWS services to deploy scalable data pipelines and analytics solutions. - 2-5 years' experience in Python for analytics, SQL modeling, and AI/ML model development. - 2-5 years' experience in data visualization using Power BI, and/or other data visualization software. - Detailed oriented and have experience working with large data sets. - Excellent verbal and written communication skills; able to communicate highly technical concepts in a clear, succinct, and relevant way to non-technical stakeholders. - Results-oriented, data-driven, and self-starter. - Compliance with the Department of Energy's regulation 10 CFR 810 is required. Desired: - Advanced degree, e.g., Master's Degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Information Systems, Statistics, etc. - Familiarity with data governance, data quality, and responsible AI practices. - AWS and/or Power BI certifications. - Exposure to emerging technologies, such as generative AI, LLMs, or retrieval-augmented generation (RAG). Some positions at PSEG require access to information covered by the Department of Energy's regulation 10 CFR 810 (Part 810). If applicable, the successful applicant must prove they are: (1) a citizen or national of the USA; OR (2) a lawful permanent resident of the United States (Non-Conditional Permanent I-551 / Green Card / Permanent Resident Card holder); OR (3) a citizen, national, or permanent resident of a "Generally Authorized" destination on the attached list not also a citizen, national, permanent resident of any country not listed; OR (4) a "Protected Individual" under the Immigration and Naturalization Act (8 U.S.C 1324b(a)(3)). As an employee of PSEG, you should be aware that during emergency restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations. For all roles, PSEG's drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing. Employees who are hired or transfer into a federally regulated role (including positions covered by USDOT, PHMSA, or NRC regulations) are subject to random drug and alcohol testing, inclusive of marijuana. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and medically, the use of these products are prohibited for employees in federally regulated roles. Please note that the use of CBD products may result in a positive drug test for THC/Marijuana and such use is not a legitimate medical explanation for a positive result. If you are a current PSEG Long Island (PSEGLI) employee and offered an opportunity with PSEG or any of its subsidiaries other than PSEGLI, you will be treated as a new hire. Please note that as a new hire to PSEG, your benefits will change and generally will be consistent with other similarly situated PSEG new hires. Similarly, for PSEG employees who accept job opportunities with PSEGLI, your benefits will change and generally be consistent with other similarly situated new hires of PSEGLI. PSEG is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legally protected characteristic. Legally protected characteristics include race, color, religion, national origin, sex, age, marital status, sexual orientation, disability or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals. ADDITIONAL EEO INFORMATION (Click link below) Know your Rights: Workplace Discrimination is Illegal Nearest Major Market: Newark Nearest Secondary Market: New York City Job Segment: Testing, Computer Science, Data Mining, Information Systems, Scientific, Technology, Engineering

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.