Bie Fashion & Fitness Category Excellence jobs at Amazon in United States, Seattle

As an Amazon Software Development Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Role Overview
You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.Benefits
• Competitive salary and equity compensation
• Comprehensive health, dental, and vision coverage
• 401(k) plan with company match
• Paid time off and parental leave
• Employee discount programKey job responsibilities
• Design, develop, and maintain scalable software solutions that meet business requirements and customer needs
• Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies
• Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations
• Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams
• Mentor junior engineers and contribute to improving team's technical practices
• Write high-quality, well-tested code following best practices and coding standards
• Participate in code reviews and contribute to technical documentation
• Drive operational excellence through monitoring, troubleshooting, and continuous improvementA day in the life
Work/Life Balance
Work Environment
Mentorship & Career Growth

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

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 job responsibilities
-Identifying and delivering improvement opportunities around demand forecasting, and production planning and buying
-Monitoring, analyzing and owning Key Performance Indicators such as: out of stock rate, total inbound lead time, confirmation rates, including presenting insights, themes and trends to Senior Leadership.
-Analyzing production and delivery lead-times and operational excellence inputs such as EDI adoption, PO confirmations and fulfillment, efficient receive process and inventory placement.

- 5+ years of with Excel experience
- Bachelor's degree, or 5+ years of professional or military experience
- Experience working with complex data sets
- Experience communicating results to senior leadership

- Knowledge of statistics or other analytical techniques
- Experience with SQL

Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do ambiguous, complex, and difficult challenges excite you? Are you experienced with people analytics and diverse populations? If yes, this may be the team for you.Key job responsibilities
• Conduct time-sensitive detailed data driven analyses to uncover trends or drivers of changes in the compensation metrics.
• Utilize database technologies to design, develop, and evaluate analyses and innovative business intelligence tools and reporting.
• Perform compensation-specific data extracts and build data pipelines to develop reports and dashboards.
• Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
• Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
• Build business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.
• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions.
About the teamKey job responsibilities- Lead the integration of new Self ID data to IXT reporting

- 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
- Experience managing, analyzing and communicating results to senior leadership
- Experience working directly with business stakeholders to translate between data and business needs

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

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Bachelor's degree

As a full stack Software Development Engineer, you’ll architect the next generation of our computer vision and artificial intelligence infrastructure. In this role, you'll drive technical strategy and innovation across our platform, leading the development of foundational services that process billions of photos while enabling revolutionary AI features. You'll shape the technical direction of Amazon Photos' machine learning capabilities and influence how millions of customers interact with their memories.Key job responsibilities* Architect and lead development of large-scale distributed systems handling petabyte-scale photo processing and ML model serving
* Drive technical decisions across multiple teams, establishing patterns and best practices for system-wide integration and operational excellence
* Build and lead high-performing engineering teams, mentoring senior engineers and developing technical talent across the organization
* Partner with ML scientists and research teams to productionize computer vision and AI technologies at scale
* Design and implement foundational services and frameworks that enable rapid innovation and improve team velocity
* Lead architecture reviews and technical deep dives, ensuring solutions meet requirements for scalability, reliability, and performance
* Collaborate with senior leadership and product teams to define roadmaps and drive strategic technical initiatives
* Establish and maintain operational standards, metrics, and practices for critical services running at global scale

- 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
- Background in distributed systems and scalable architectures

- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- Experience leading large-scale ML/AI infrastructure projects
- Track record of delivering complex technical initiatives across multiple teams
- Deep expertise in cloud computing and microservices architecture
- Experience mentoring engineers and developing technical talent

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.Key job responsibilities
• Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
• Managing AWS resources
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Work with external data vendors to onboard data into existing infrastructure
• Collaborate with Analysts, Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• explore leveraging newest and advanced technology to rethink how we engineer data

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of distributed systems as it pertains to data storage and computing