Role Description As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams. - Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions. - Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring. - Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs. - Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful. - Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. - Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability. - Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance. - Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions. - Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions. - Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function. Qualifications - Must be based in Singapore (remote-first team; flexible working environment). - Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or related field. - 6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains. - Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.). - Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows. - Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code. - Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments. - Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility. - Comfortable in Linux, Git, Docker, and modern collaboration workflows. - Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels. - Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation. - A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results. Benefits - Competitive salary — 150,000 - 170,000 SGD per year - Equity participation — stock options that grow with us as we scale globally - Quarterly wellness allowance — spend it your way - Learning & development budget — training, conferences, and dedicated Development Days with our AI/ML team - The backing of a proven platform — AI already running in production at HSBC and Standard Chartered, so you're building something that works Company Description At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

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/