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What you will accomplish:
provide a comprehensive, 360 view of each customer
Provide thought leadership on the customer segmentations and predicted signals that eBay needs to develop , based on internal and external customer data and developed using machine learning methods
Provide strategic direction to build a modern, sustainable data program in collaboration with the data management and architecture teams, to serve as the foundation for our customer-centric efforts and external data sharing strategy
Understand eBay’s internal data structure (domain owners, stewards etc.), internal data usage, and external data sharing risks and tie it back to the business needs
Lead the creation of regular updates to the executive leadership team and throughout the eBay global business on the health of the eBay customer base, spotting the opportunity areas and working with partners to drive strategies that help eBay grow
Collaborate closely with technology and data platform teams
What you will bring:
8+ years of experience in Customer data science, customer strategy and/or product roles, including 5+ years leading teams
Master’s degree or equivalent experience or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
Consistent track record building analytical products and customer data-science driven programs
Strong expertise in customer data, customer analytics and quantitative analysis approaches, including experience evaluating ML models with custom metrics and robust frameworks
Deep understanding of data governance methodologies
High-reaching, self-starter attitude; able to adapt to emerging challenges and implement under ambiguity.
Experience with LLMs, prompt engineering, and RAG techniques (preferred)
The base pay range for this position is expected in the range below:
$218,400 - $291,600These jobs might be a good fit

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Role Overview:
As a vital member of our team, you will play a pivotal role in promoting our commercially approved products through comprehensive clinical education and sales support initiatives. You will be responsible for covering a defined region, engaging with current and potential customers, and contributing to the achievement of sales targets and revenue growth within specific product segments.
Responsibilities:
Required Qualifications:
Preferred Qualifications:
The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.
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Oportunidade disponível para contratação híbrida nos escritórios de São Paulo, Campinas, Rio de Janeiro e Curitiba.
Sabemos que carreiras podem ser tão diferentes quanto as próprias pessoas. Por isso, na EY, você terá a liberdade , as ferramentas e as condições para se desenvolver e construir uma carreira tão única quanto você.
Em Impostos, estamos construindo um mundo de negócios melhor apoiando organizações a prosperar em uma era de mudanças rápidas. Oferecemos serviços em todas as disciplinas tributárias e combinamos nosso conhecimento e experiência com as pessoas e as melhores plataformas de tecnologia; e isso nos torna um parceiro ideal para as necessidades relacionadas a impostos sobre transações, impostos internacionais e questões fiscais relacionadas a pessoas, conformidade e relatórios, entre outros. #TaxEY
Qual será o seu papel nesse propósito?
Como uma pessoa Assessora Tributária Sênior de Preços de Transferência (OCDE) você será parte da área de TAX atuando na definição de preços dos produtos produzidos no exterior e vendidos no Brasil. Prestando assessoria tributária para atendimento as regras de preços de transferência realizando revisão, documentação, gerenciamento e defesa das políticas de preços de transferência, além da preparação de cálculos e documentos pertinentes para o cumprimento de obrigações principais e acessórias, assumindo as seguintes responsabilidades:
Por que você?
Se você possui os requisitos abaixo, essa oportunidade pode ser sua:
Poderá ser um diferencial, caso você tenha os seguintes requisitos:
O que oferecemos: Vale Alimentação, Vale Refeição, Vale Transporte, Plano de saúde, Assistência odontológica, Universidade Corporativa e outros benefícios Educacionais, Gympass, PLR, e muito mais. Clique e conheça nosso universo de benefícios .
Quem somos
Somos uma das maiores empresas de serviços do mundo, em Auditoria, Consultoria, Impostos, Estratégia e Transações, orientados à Tecnologia. Com presença em mais de 150 países, aqui você terá a oportunidade de viver as experiências excepcionais que só a EY pode oferecer, com alcance global, cultura inclusiva e tecnologia para se tornar a sua melhor versão.
Aqui, acreditamos que a força que impulsiona a inovação vem da diversidade de pessoas e ideias. Segundo o Great Place to Work 2022, somos a melhor empresa para pessoas LGBTQ+ do Brasil, e a 2a melhor empresa para Mulheres e para Pessoas Pretas. Assim, você poderá fazer parte de nossos programas e grupos que, juntos a inúmeras iniciativas internas, apoiam nossa constante busca pela equidade.
Quer se sentir desafiado/a, motivado/a e valorizado/a todos os dias? Inspirar mudanças e deixar um legado? Faça parte do nosso time e ajude-nos na construção de um mundo de negócios melhor!
Saiba mais sobre como é trabalhar na EY:
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This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.These jobs might be a good fit

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You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.
Key job responsibilities
Strategic customer engagement:
Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of GenerativeAI / AI / ML.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Ability to travel up to 15% as needed
- Experience in AWS cloud computing or SaaS, ideal if experience is in GenAI/AI.
- MBA or advanced degree in AI/ML.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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What you will accomplish:
provide a comprehensive, 360 view of each customer
Provide thought leadership on the customer segmentations and predicted signals that eBay needs to develop , based on internal and external customer data and developed using machine learning methods
Provide strategic direction to build a modern, sustainable data program in collaboration with the data management and architecture teams, to serve as the foundation for our customer-centric efforts and external data sharing strategy
Understand eBay’s internal data structure (domain owners, stewards etc.), internal data usage, and external data sharing risks and tie it back to the business needs
Lead the creation of regular updates to the executive leadership team and throughout the eBay global business on the health of the eBay customer base, spotting the opportunity areas and working with partners to drive strategies that help eBay grow
Collaborate closely with technology and data platform teams
What you will bring:
8+ years of experience in Customer data science, customer strategy and/or product roles, including 5+ years leading teams
Master’s degree or equivalent experience or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
Consistent track record building analytical products and customer data-science driven programs
Strong expertise in customer data, customer analytics and quantitative analysis approaches, including experience evaluating ML models with custom metrics and robust frameworks
Deep understanding of data governance methodologies
High-reaching, self-starter attitude; able to adapt to emerging challenges and implement under ambiguity.
Experience with LLMs, prompt engineering, and RAG techniques (preferred)
The base pay range for this position is expected in the range below:
$218,400 - $291,600These jobs might be a good fit