Bie Amx jobs at Amazon in United States, Seattle

Key Responsibilities
· Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
· Develop fair predictive models to understand important business and people-centered outcomes
· Productionize ML and science models at the scale of Amazon

- 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.

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.We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Senior Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.Key job responsibilities
• Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform.
• Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering.
• Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence.
• Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions.
• Take ownership of the full software development lifecycle, including design, testing, deployment, and operations.
• Work closely with product managers, scientists, and other engineers to build and launch new features and systems.

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application 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.

Our team, formerly PXT Central Applied Science, is now a vital part of the Amazon Manager Experience (AMX) organization. We're dedicated to revolutionizing management at Amazon through cutting-edge scientific solutions. We develop robust primitives that combine predictive modeling and generative AI, split evenly between these two domains. Our predictive models provide timely insights into talent attrition risks and team cost trajectories. Our generative AI applications include virtual coaching for performance reviews, promotion guidance, and talent development, as well as primitives that transform employee feedback into actionable strategies. By reducing subjective judgment and amplifying human effectiveness, we're enhancing the entire Amazon ecosystem. Our goal is to make Amazon an even better workplace by empowering managers with advanced technological solutions. As we look ahead, we see boundless opportunities to contribute to the AMX flywheel. We're shaping a future where data-driven insights and AI-assisted decision-making are the norm in people management. We serve as the bridge between applied science and day-to-day management realities at Amazon. Our work drives efficiency, fosters talent, and contributes to the success of both individuals and the organization as a whole.
We need a motivated, experienced Business Intelligence Engineer who can develop a comprehensive strategy for acquiring, analyzing, and deriving metrics to assess primitive effectiveness and extract employee feedback insights to leadership. In this role, you will:
• Identify critical metrics and establish essential analysis to measure the health, effectiveness and efficiency of the primitives developed by the team. Establish an ongoing mechanism to inspect the metrics and discover opportunities to improve them by working with the respective product managers.
• Invent new ways to analyze data and leverage modeling to extract insights from employee feedback mechanisms.
• Partner with Product Managers, Applied Scientists, Data Engineers and Software Engineers to design products and systems to transform and store data items using AWS technologies.
• Create self-service solution to enable product managers and leaders for real time audit, present overall program impacts and facilitate decision making.
Key job responsibilities

- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Key Aspects of the Role:- Partner directly with product owners to influence product design and strategy through data-driven insights
- Design and implement end-to-end BI solutions for new and evolving talent products
- Create scalable self-service analytics enabling stakeholders to understand metrics and trends
- Define and implement new measurement methodologies to track successWhy This Role Matters:- Direct impact on career development of 1.5M+ Amazonians globally- Drive cross-functional influence through data-driven decision making- Building scalable analytics solutions for enterprise-scale platforms- Working in a fast-paced environment with continuous innovation
Key job responsibilities
- Develop and implement scalable, self-service analytics solutions that enable stakeholders to understand key metrics and trends autonomously- Drive cross-functional influence by developing solutions that encourage organization-wide adoption of efficient delivery, accurate measurement, and rigorous decision-making processes- Participate in and often lead the evaluation of new approaches for talent development, leveraging data to support or refute hypotheses

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
· Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
· Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it
· Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

We are now looking for a self-driven and experienced Business Intelligence Engineer to help create the overall strategy of leveraging data to improve program effectiveness and optimize policy design. In this role, you will:- Invent new ways to analyze data and leverage modeling to help define/revise compensation policy, guidelines and practices.
- Partner with Data Engineers and Software Engineers to design products and systems to transform and store data items using AWS redshift.
Key job responsibilities
Support Compensation and Talent Management reporting and analytics through automated reporting, trend analysis, and process automation.

- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Key job responsibilitiesThe primary responsibilities of this role include:Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range ofDevelop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

- Experience with data visualization using Tableau, Quicksight, or similar tools