Sr Data Scientist Private Pricing Analytics Insights Ppa & jobs at Amazon in United States, New York

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Why AWS?Inclusive Team CultureMentorship & 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.
Work/Life Balance

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

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:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.Key job responsibilities

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

Key job responsibilities
As an AS on our team, you will:- Independently collect and analyze data
- Develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software

- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 2+ years of building models for business application experience
- 2+ years of hands-on predictive modeling and large data analysis experience

- Experience in designing experiments and statistical analysis of results
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Key job responsibilities

- 8+ years of non-internship professional software development experience
- 8+ 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
- Bachelor's degree in computer science or equivalent

- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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.As a Senior Manager, ML Infrastructure, you will lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI/ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience partnering with product or program management teams
- Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

- Experience designing and developing large scale, high-traffic applications
- Bachelor's degree in computer science, computer engineering, or related technical field
- Experience with AWS infrastructure and services

About Sponsored Products and Brands
Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.

- 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
- Experience with AI/ML technologies

- 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