• Apoiar o PM a criar e evoluir domínios que compõem um produto, na jornada do usuário. • foco em integração entre sistemas, conhecimento API, Webhook, SFTP e conceitos técnicos de integrações • Ajudar na evolução do seu domínio, junto ao PM, colaborando para a evolução do produto, a partir de oportunidades e alavancas do negócio. • Ajudar na organização e manutenção do backlog do produto, garantindo padronização das informações, revisão dos critérios de aceite; • Apoiar na comunicação e atualização das informações relacionadas ao domínio; • Conduzir reuniões de apresentações de produto com os clientes; • Conduzir ritos menores de produtos com o time técnico interno; • Conduzir reuniões com outras áreas internas sobre o produto.

Requisition Number: 2339616 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together This Data Scientist is the first of its kind and critical role for accelerating the AI agenda across UHC Consumer Operations. This position will report to the Sr Director Data AI Program Management, Governance and Data Integrity. This position combines data science with healthcare innovation, AI ethics, and regulatory compliance, providing a unique opportunity to help shape the future of AI applications in healthcare. In this role, you will collaborate with cross-functional teams to refine AI methodologies, develop and validate robust testing protocols to identify potential model failures. A successful candidate will interact with diverse teams using a wide variety of AI methods and validate test plans and results. They will design and oversee testing and monitoring plans for novel use cases across a wide spectrum of types of AI and healthcare applications. The role will participate in UHG's external industry groups involve with AI policy. The role requires ability to write clear documentation on use-case specific testing requirements. You will also engage with stakeholders to advocate for and drive the adoption of responsible AI practices, providing a unique opportunity to shape the future of ethical AI applications in healthcare. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design and write new guidelines for AI testing and ongoing monitoring - Design and document improved testing methodologies, especially for novel use cases - Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML - Document findings, create reports related to KPOs, and present results to stakeholders - Develop job aids and guidance documentation for best practices of responsible AI - Help identify vulnerabilities related to PII/PHI exposure in AI interactions - Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work - Be in lock step with AI strategy counterpart in delivering against AI strategy and product vision and roadmap that is focused on company goals and consumer needs - Support AI program office, setting clear priorities, success metrics and cross functional alignment - Build and enforce consistent AI lifecycle management process (ideation, model development, testing, deployment, monitoring, retirement) including rinse and repeat playbook for AI Review Board (AIRB) - Enforce policies for data quality, lineage, accuracy and security across AI pipelines - Build in partnership with data engineering and platform teams best-in-class data models and maintenance programs to set the foundation for scalable AI growth - Establish data validating protocols to reduce the risk of integrity related incidents - Build, converge and deliver data API's that prevent data drift, model decay and data hygiene related risks - Design and oversee AI performance reporting dashboards covering accuracy, bias, fairness, operational health, real time anomaly detection and more - Establish and lead the AI incident management framework, including severity levels, response times and escalation protocols - Drive adoption of AI risk management practices - Support key priorities of increasing employee and management engagement by promoting Our United Culture and DEI concepts and activities with leaders and within the organization You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 8+ years of experience in computer science, applied mathematics, applied statistics, linguistics or related quantitative fields - Experience in establishing data integrity and governance frameworks at scale - Extensive experience with advanced natural language processing models and clinical natural language processing, clinical de-identification, and clinical annotation - Deep understanding of AI ethics and fairness considerations - Proficiency in the full machine learning lifecycle including development, deployment, and monitoring - Proven solid analytical and problem-solving skills - Legally authorized to work in the US without any restrictions. Proof will be required. Preferred Qualifications: - Experience collaborating with cross-functional teams including product managers and business stakeholders - Experience partnering with AI forward companies like Amazon, Google, Microsoft and the likes - Knowledge of large language models, conversational AI, prompt engineering, and adversarial testing - Familiarity with regulatory frameworks relevant to AI healthcare systems including claims payment and call centers - History of delivering production systems that include clinical natural language processing, sentiment analysis, text classification, medical/health informatics, clinical de-identification, and clinical annotation - Proven ability to translate business needs into technical solutions *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #UHCAI10 UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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 Cientista de Dados você será responsável por contribuir com a estratégia de negócios e influenciar a tomada de decisões com base em informações obtidas por meio de análises aprofundadas. Você produzirá recomendações acionáveis e envolventes ao interpretar insights de conjuntos de dados complexos. Também irá projetar processos para consolidar e examinar dados não estruturados, gerando insights relevantes. Além disso, colaborará com líderes de negócios, engenheiros e especialistas da indústria para construir modelos preditivos, algoritmos e motores de probabilidade. Você irá: - Colaborar com equipes internas e externas para entender os requisitos dos clientes e desenvolver soluções personalizadas utilizando modelos de IA generativa; - Desenvolver aplicações de IA utilizadas em diferentes áreas da Dell, com o objetivo de transformar e modernizar a empresa; - Desenvolver e conduzir testes para avaliar a eficácia de algoritmos em diferentes casos analíticos; - Manter-se atualizado com os avanços mais recentes em pesquisa de IA e aplicar técnicas de ponta para aprimorar o desempenho dos modelos; - Realizar testes rigorosos, validação e avaliação de desempenho das soluções de IA. Qualifications - Formação acadêmica: Graduação completa em Ciência da Computação, Engenharia (Computação, Software, Elétrica, Controle e Automação), Estatística, Matemática, Física ou áreas correlatas. - Pós-graduação stricto sensu (Mestrado ou Doutorado) em áreas relacionadas à Inteligência Artificial, Aprendizado de Máquina ou Ciência de Dados. - Domínio avançado do inglês, necessário para interação constante com times internacionais. - Sólidas habilidades de programação em Python. - Compreensão dos conceitos de Aprendizado de Máquina (Machine Learning). - Conhecimento e familiaridade com os conceitos fundamentais de design e análise de algoritmos, além de forte conhecimento em matemática e estatística. Requirements - Compreensão sólida de arquiteturas de Deep Learning, com experiência em ajuste fino e personalização de modelos pré-treinados para aplicações específicas. - Proficiência em Python e nas bibliotecas/frameworks relevantes (ex.: TensorFlow, PyTorch). - Experiência com modelos de linguagem de grande escala e familiaridade com técnicas e aplicações de processamento de linguagem natural (PLN). Company Description Acreditamos que cada pessoa tem o poder de gerar impacto. É por isso que colocamos as pessoas da nossa equipe no centro de tudo o que fazemos. Se você está procurando uma oportunidade de desenvolver a sua carreira em um ambiente de trabalho inclusivo e diverso, com a tecnologia mais avançada do setor, estamos procurando por você. A Dell Technologies é uma família única de empresas que ajuda pessoas e organizações a transformar a forma como trabalham, vivem e se divertem. Junte-se a nós para construir um futuro que funcione para todas as pessoas, porque o progresso precisa de nós. A Dell Technologies está comprometida com o princípio de oportunidades iguais de emprego para todas as pessoas, e em fornecer às pessoas da equipe um ambiente de trabalho livre de discriminação e assédio.

• Work with a cross-functional team to enhance PatientPoint’s durable provider growth strategy. • Be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment. • Develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals. • Work in Git, participate in code reviews, and keep work documented (Jira, Confluence, READMEs). • Proactively share insights with cross-functional collaborators and data science team.