The world is getting smaller and moving faster. What helped companies become successful a decade ago does not work. Being agile, experimenting more and faster, pivoting, seizing market opportunities is now a matter of survival for startups and enterprises alike. AWS provides our customers with technology that unshackles them from traditional boxes & wires, offers them elastic and secure global infrastructure as well as higher-level services in all areas of technology, from DevOps and Containers to Connected Everything (IoT), to Mobile, to Gaming, to Data Lakes and Analytics (D&A), to Artificial Intelligence and Machine Learning (AI/ML). This scale and abundance of technology, coupled with flexible pay-as-you-go model frees our customers mental and financial capacity to focus on innovation. As a result, millions of customers use AWS every day and in Korea we see companies ranging from Samsung Electronics, LG Electronics, Korean Air, KBS, Nexon, Woowa Brothers, all benefiting from the transformative power of AWS public cloud. If you want to be part of this transformation and have relevant skills, please come join our team and lets cloudify the world! Opportunity like this comes once in a generation - dont watch the history unfold from the sidelines - join us to to build the future together! At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is our drone initiative, Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow, API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications, and Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark ML on EMR for data scientists. After joining our team, you will be provided with a ramp-up plan and a mentor to ensure you get off to a good start (see Roles & Responsibilities for more information). After that we will ask you to dive deeply into your customers business and technology situations and help them identify which of their issues and goals can be best served by adopting AWS cloud. We will also ask you to enable the customers to be successful in their cloud adoption by answering their technical questions, removing technical blockers they encounter, delivering hands-on workshops, and providing architectural guidance. At AWS, Customer Obsession is in our DNA, so in order to be successful in this role, you will need to become a Trusted Advisor to our customers and to ensure that they are able to achieve their business objectives with the help of AWS cloud technology. Within first 12 months, you will have an opportunity to work with a variety of customers, present at the AWS Summits in Seoul and elsewhere in APAC, conduct internal training, and publish blogs and whitepapers. You will also have an opportunity to influence the direction of our products by providing actionable customer feedback to the service teams. Todays customers are looking for strategic partners to help them thrive in rapidly changing business @context. With everything going digital, our startup customers are looking to disrupt entire industries and our enterprise customers are looking to modernize as quickly as possible to avoid being disrupted. As a data scientist, you will be given opportunities to influence customers cloud journey right from the start. Depending on the team that you will end up joining, you will have an opportunity to work with one of the most well-known companies in Korea operating in industries such as finance, manufacturing, airline, telecommunication, and media & entertainment or one or more of the startups that are revolutionizing Korean economy. You will have a chance to influence architectural decisions to help customers adopt AWS cloud in a more reliable and secure way while at the same time helping the customers realize tangible business value from cloud adoption. You will help customers adopt AI/ML best practices to make them more agile and smart to market changes. If you believe you are the kind of person who gets excited by open-ended, highly ambiguous and complex problems and capable of solving them in novel ways, you will be given tremendous opportunities to help customers to innovate and succeed. As a Trusted Advisor, you will become a virtual extension of the customers data scientist and analysts team and will see them transform and modernize as a result of your work. You will be part of a great team of very supportive people who will help you be successful, but also expect a lot of you. This role is not for everyone - we are looking for people with Builder mentality who are self-driven, willing to take Ownership of things and see them through, able to Earn Trust of our customers and their colleagues by consistently delivering on their commitments. We are looking for visionaries who start by Diving Deep on the specific business objectives of a customer, imagine the future on their behalf, then Invent a way of getting there, and finally Deliver Results with and on behalf of the customer. And, above all, we are looking for people who share our Customer Obsession. If you want to be part of a once in a lifetime transformation in the IT industry and achieve more than you may think you are capable of - this is a perfect place for you! Come join us in transforming Korea!
Roles and Responsibility This position is for someone who already has substantial technical and/or customer-facing skills and built some deep technical capabilities through their prior work experience. The requirements listed below are expected of a perfect candidate who can hit the ground running on Day 1. You are not required to meet all of them, but we would like you to meet most of them. After joining us, you will be provided with a ramp-up plan ranging from 2 to 3 months. During this time, you will have an opportunity to bridge any gaps between your current capabilities and our expectations. · Work with customer’s AI/Data/Data Science team to deeply understand their business and technical needs and design AI solutions that make the best use of the AWS Cloud platform and AI Services. · Help scope and formulate AI projects and POCs. · Deliver deep-dive workshops and AI POCs for APAC customers. · Thought Leadership – Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. · Partner with Solutions Architects, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment. · Act as a technical liaison between customers and the service engineering teams and providing produce improvement feedback. · Develop and support an AWS internal community of AI related subject matter experts. 데이터 사이언티스트 III 의 업무 범위 및 요건 본 포지션은 이미 이전 경험을 통해 다양한 기술 및 대 고객 경험을 보유하고 있으며, 높은 수준의 기술적 성취 및 전문성을 보유한 분들을 위한 것입니다. 아래에 나열된 요구 사항은 저희가 후보자 여러분께 기대하는 바를 정리한 내용으로, 모든 요구 사항을 충족 할 필요는 없지만 대부분의 요구 사항을 충족 하기를 바랍니다. 만약 입사 하시게 되면, 여러분 께는 3개월의 Ramp-up 기간이 제공 되며, 이 기간동안 본격적인 업무를 시작 하기에 앞서 부족하다고 생각되는 부분을 채워 넣으실수 있습니다.
고객의 AI / 데이터 / 데이터 과학 팀과 협력하여 비즈니스 및 기술 요구를 깊이 이해하고 AWS 클라우드 플랫폼 및 AI 서비스를 최대한 활용하는 AI 솔루션을 설계합니다. · AI 프로젝트 및 POC의 범위를 정하고 공식화합니다. · APAC 고객을위해 깊이 있는 워크샵 및 AI POC를 제공합니다. · Thought Leadership – AWS 블로그, 백서, 참조 아키텍처 및 AWS Summit, AWS re:Invent 등과 같은 대중 발표 이벤트와 같은 포럼을 통해 AWS 서비스를 전파하고 모범 사례를 공유합니다. · 솔루션 아키텍트, 영업, 비즈니스 개발 및 AI 서비스 팀과 협력하여 고객적용 과 수익에 도움을 줍니다. · 고객과 서비스 엔지니어링 팀 간의 기술 담당자 역할을 수행하고 생산 개선 피드백을 제공합니다. · AI 관련 주제 전문가로 구성된 AWS 내부 커뮤니티를 개발하고 지원합니다