Data Scientist Nacp Analytics jobs at Amazon in United States, Bellevue

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
The ideal candidate will have a strong technical background, be detail driven, and have excellent problem-solving abilities. You demonstrate expertise with AWS-based infrastructure, products and solutions. You will be comfortable designing, building, deploying, and operating, as well as resolving critical issues. The role will be responsible for systems functionality, performance, and optimizing configurations and the ideal candidate can demonstrate sound knowledge of scripting concepts and theory. It is important that you can earn trust of your peers and stakeholders through your body of work and day to day interactions. This role requires ambition, thinking big, self-motivation, and the ability to thrive in a fast-paced, collaborative, and startup-like environment.A day in the life
* Comfortable designing, developing, deploying, and IaC, Python, and scripts
* Infrastructure design in AWS environments
* Builds AWS-based solutions for problems of sizable scope and complexity that have been successfully deployed to customers/users
* Champions Infrastructure as Code (IaC); provides thought leadership; establishes enterprise-level infrastructure patterns.
* Builds and enhances Continuous Integration and Delivery (CI/CD) pipelines.
* Mentors less experienced software engineers. Collaborates with other teams and engineers to find innovative solutions for moderately complex problems.
* Comfortable designing, building, deploying, and operating cloud systems in AWS, as well as resolving critical issues in cloud environments.About the team
Our Infrastructure Engineering team builds, deploys, operates, and sustains our critical applications, infrastructure and systems in the cloud. You will deploy and monitor the systems, with automation to ensure that critical infrastructure is operating optimally while implementing mechanisms to prevent service impacting incidents. You will utilize trends and metrics to identify and communicate opportunities for improvements within existing frameworks, tools and processes to continuously improve systems.
Engineers are responsible for developing the tools, platforms, and methodologies that deliver performant, resilient, and efficient cloud platforms and architectures. Our engineers touch a wide range of AWS applications and infrastructure components.

- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 5+ years of systems design, software development, operations, automation, and process improvement experience
- Experience with CI/CD pipelines build processes

- Experience with distributed systems at scale

You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in building models for business application
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.Mentorship & Career Growth - We’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.

- 2+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- 2+ years of experience of Data platform implementation
- Hands on experience with building data or machine learning pipeline
- Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

- Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Utility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’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.Diverse Experiences
Amazon 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.

- 1+ years industry experience as a Software Engineer or Software Developer. • 1+ years developing with Python, Golang, Rust, Java, and/or other modern programming languages.
- Experience developing on Unix/Linux operating system
- Experience building and supporting large-scale software systems that have been successfully delivered to customers
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical discipline (or equivalent experience).
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience with CI/CD pipelines build processes
- Experience in automating, deploying, and supporting large-scale infrastructure
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience

As a Software Development Engineer in the Amazon Device OS organization, you will own the definition and implementation of components used to build applications on millions of devices. We are building a new development environment for our smart home devices, and, as part of this effort, you will create common software components for product lines such as Echo and Fire TV. You will be challenged to create rich customer applications, while optimizing for performance.
You will engage with an experienced cross-disciplinary staff to conceive and design innovative customer experiences. You will create new solutions in a responsive, flexible and collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Amazon ecosystem for our exciting future in consumer devices.
Key job responsibilities
As a Software Development Engineer, you will:
- Understand and refine the scope of incoming projects

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

Key job responsibilities
- Design and develop advanced machine learning models and algorithms for autonomous vehicle systems
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in autonomous navigation
- Create and implement metrics and evaluation frameworks to measure model performance
- Mentor junior scientists and contribute to building a culture of scientific excellenceA day in the life

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.