Role Description A área de Engenharia Centrada em IA é dinâmica e empolgante, fazendo parte do Escritório do CTO (OCTO) da Dell. Conduzimos pesquisas e engenharia voltadas para o futuro da Dell Technologies em um ambiente de alta visibilidade e colaboração intensa. Nossa equipe é especializada no desenvolvimento de soluções avançadas de IA que capacitam empresas a inovar, se comunicar e otimizar operações de maneiras nunca antes possíveis. Somos compostos por pessoas apaixonadas e dedicadas a ultrapassar os limites da tecnologia de IA. Como Analista Sênior de Ciência de Dados, sua principal responsabilidade será investigar e desenvolver tecnologias de ponta para avançar o portfólio da Dell, e influenciar tomadas de decisão com base em análise de dados em profundidade. Você projetará processos para consolidar e examinar dados não estruturados para gerar insights úteis. Você trabalhará em estreita relação com especialistas em domínios em uma ampla gama de campos. Nós estamos procurando pessoas que sejam confortáveis em aprender e se adaptar facilmente para atender às necessidades de nossa empresa em constante evolução. - Colaborar com equipes internas e externas; - Desenvolver e aplicar uma ampla gama de técnicas e teorias de estatística, Aprendizado de Máquina e Inteligência Empresarial para entregar insights empresariais; - Realizar etapas de ponta a ponta envolvidas no desenvolvimento de modelos, estabelecendo-se como especialista em seu campo; - Desenvolver e codificar programas de software, algoritmos e processos automatizados para limpar, integrar e avaliar grandes conjuntos de dados provenientes de fontes diversas e dispersas; - Construir modelos preditivos, algoritmos e motores de probabilidade; verificar a eficácia dos modelos e algoritmos com base nos resultados reais. Qualifications - Formação acadêmica: Graduação completa em Ciência da Computação, Engenharia (Computação, Software, Elétrica, Controle e Automação), Estatística, Matemática, Física ou áreas correlatas; - Domínio avançado do inglês, necessário para interação constante com times internacionais; - Conhecimento em linguagem de programação Python; - Conhecimento em tecnologias de Machine Learning; - Conhecimento matemático, habilidades de análise estatística e análise de algoritmos. Requirements - Conhecimento em Deep Learning; - Pós-graduação stricto sensu (Mestrado ou Doutorado) em áreas relacionadas à Inteligência Artificial, Aprendizado de Máquina ou Ciência de Dados. Benefits Não foram fornecidos detalhes sobre os benefícios. Company Description We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. - Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. - Join us to build a future that works for everyone because Progress Takes All of Us. - Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

• Define and execute the technical and operational strategy for the Data organization • Lead coordinators and supervisors who oversee squads in Data Engineering, Data Quality, and Data Platform • Establish and advance the company’s data governance • Drive end-to-end data architecture • Ensure operational health of critical pipelines • Evolve the Data Platform as an internal product • Diagnose and address structural bottlenecks • Serve as the technical-executive focal point for the Data area • Develop and retain talent • Define and track area KPIs • Support Neogrid’s positioning in strategic data initiatives

Role Description We are seeking a Data Scientist III to drive predictive insights through a cross-vertical enterprise lens at the intersection of all our Fanatics businesses (Advertising & Loyalty, Betting & Gaming, and eCommerce & Collectibles). You will translate fan signals into measurable enterprise value through advanced segmentation, targeting, and the Next Best Action models that power personalization across the entire fan lifecycle. Responsibilities - Develop a deep understanding of the end-to-end customer lifecycle across all Fanatics lines of business, building a unified view of fan behavior across commerce, betting, collectibles, and media. - Build, deploy, and iterate on Lifetime Value (LTV) models, including probabilistic frameworks and retention-based approaches, to improve enterprise customer segmentation and cross-sell opportunities. - Design and implement churn, reactivation, and propensity models that feed directly into loyalty, CRM, and promotional decision-making across business units. - Apply causal inference and uplift modeling to measure true incremental value of cross-BU promotions and personalization strategies. - Develop analytical and science frameworks that facilitate enterprise trade-offs and executive decision-making across business units. - Build strong relationships with stakeholders across Advertising & Loyalty, Betting & Gaming, and eCommerce & Collectibles to drive an ecosystem-wide data mindset. Qualifications - A minimum of 3-5 years proven experience in a data science or advanced analytics role. - Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics. - Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models. - Hands-on experience with LTV or customer value modeling (probabilistic frameworks, retention curve modeling, or cohort-based CLV) in a consumer, subscription, or transactional environment. - Proven experience with experiment design in loyalty or promotional contexts. - Strong grasp of survival analysis and its application to customer churn and retention modeling. - Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication. - Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments. Preferred But Not Required - Prior experience with multi-brand or multi-product customer data, identity resolution, or unified customer modeling across verticals. - Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment. Salary Range $1,117,000 — $1,167,000 USD Benefits For information about our benefits, please visit https://benefitsatfanatics.com/

Title: Senior Scientist Location: Washington, DC Job Description: The Environmental Working Group (EWG), a leading 501(c)(3) environmental health research and advocacy organization, is seeking a Senior Scientist to advance EWG’s Verified programs. Since 1993, EWG has worked to shine a spotlight on policies, practices, and industry behaviors that threaten public health and the environment. Through groundbreaking research, policy advocacy, and communications, we strive to empower the public and decision-makers with the facts to drive positive change. EWG’s Verified team analyzes a wide variety of data on personal care products, cleaning products, pet grooming products, diapers, and mattresses. Through this process, we catalyze the development of safer products, leveraging our scientific independence to challenge the status quo and set new standards for public health protection. The Senior Scientist will evaluate consumer products to support EWG Verified certification and consultancy program needs for raw materials, formulations, and final products. The ideal candidate will have a demonstrated commitment to working for the public interest, a strong technical background in toxicology or related field, outstanding interpersonal, oral and written communication skills, and the ability to use the best available science to make informed decisions despite evolving or imperfect information. Responsibilities: - Lead in-depth toxicological hazard and risk evaluations for chemicals in EWG Verified products, utilizing GHS criteria, internationally recognized frameworks, read-across methodologies, predictive modeling and AI to address data gaps. - Drive scientific rigor by facilitating cross-functional workgroups of toxicologists and chemists, ensuring data and decisions are seamlessly integrated into internal systems and public-facing databases. - In collaboration with all EWG teams, propose and implement stringent public health-based standards and criteria. - Anticipate emerging impacts and remain up-to-date on new toxicology and environmental health issues relevant to EWG project areas. - Research and advise on testing methodologies for products, ingredients and contaminants. - Implement agile workflows that support organizational growth, ensuring that as the EWG Verified program demand increases or expands into new product categories, technical rigor and delivery timelines remain optimized. - Develop and maintain consumer education resources about the health effects of chemicals in consumer products. - Represent EWG in public and professional forums, including expert panels, scientific conferences, regulatory hearings, and media engagements. Qualifications and experience: - Master’s or PhD degree in Toxicology, Chemistry, Biology, Epidemiology, Environmental Health or a related Science field. Comparable training and/or experience can be substituted for degrees when appropriate. - Minimum 5 years’ related professional work experience in toxicology, chemical risk assessment, environmental health, public health, green chemistry or related field. - Knowledge of chemical regulations/regulatory toxicology-related compliance with global and national safety regulations. - Ability to prioritize and manage multiple projects. - Ability to explain and present complex scientific and regulatory compliance issues and solutions to diverse audiences. - The position requires ability to work in a fast-paced setting, efficiency with transitioning to new projects and commitment to the mission of the organization. - May spend extended periods working at a computer. Location: Washington, DC office. Compensation: Annual salary range of $80,000 – $148,000. Salary is commensurate with experience. Total Rewards In addition to competitive pay, EWG employees enjoy a robust total rewards package that includes: - Affordable, comprehensive health care that includes medical, dental and vision benefits. - Generous paid annual leave plan. - Generous paid sick leave. - Employer-paid disability, life insurance and paid family leave plans. - Flexibility to telework. EWG’s commitment to diversity and inclusion: EWG celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to foster a work environment that supports, inspires and respects all individuals. EWG does not discriminate against any employee or applicant on the basis of race, color, religion, national origin, age, sex, citizenship, ancestry, marital status, family responsibilities, physical or mental disability, military or veteran status, medical condition, genetic information, sexual orientation, gender, gender identity or expression, matriculation or political affiliation, or any other protected class recognized in any of the jurisdictions where EWG has offices or employees working. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, and compensation and promotion.