דרושים Business Analyst Profit Intelligence ב-אמזון ב-United States, San Jose

We’re looking for someone who:
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.- Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilities
- Build and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo- Enable data access, literacy and self-sufficiency: You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of SQL experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Develop and maintain integrations using RESTful services, SOAP, and database connections
- Develop endpoints in systems (e.g. NetSuite) that connect to AWS
- Architect robust error management and control systems
- Conduct code reviews and maintain high code quality standards
- Create comprehensive technical documentationTechnical Expertise:
- Deep knowledge of AWS services, including: Lambda, S3, Redshift, API Gateway, CloudWatch, EventBridge, SQS, SNS, B2B Data Interchange
- Experience building APIs and system integrations
- Excellent background in systems integration and data processing

- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes

- Experience with distributed systems at scalePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amazon One Medical is hiring a Actuarial Manager Analyst. Actuarial rigor is one of the keys to our success. This candidate will responsible primarily for several critical workstreams which include analysis of Medicare Advantage and Accountable Care Organization data, design and implement an actuarially sound monthly reserving process for Total Medical Expense (TME) estimation, and lead continuous evaluation of TME performance compared to plan expectations.Key job responsibilities
-Analysis of Medicare Advantage and Accountable Care Organization data primarily
-Medical economics reporting and ad-hoc analysis relating to cost of care management
-Medicare Risk score projections and premium estimation
-Design and implement an actuarially sound monthly reserving process for Total Medical Expense (TME) estimation
-Lead continuous evaluation of TME performance compared to plan expectations-Support month end financial and accounting processes for relevant actuarial estimates.
-Value based care contracting support and ongoing financial and risk analysis.
-Support ongoing actuarial support for outside auditor review of financial estimates and results.
-Design studies to monitor the suitability of the completion factor estimates.
-Lead continuous evaluation of risk based funding and scoring performance compared to plan expectations.
-Complete the evaluation of stop-loss coverage and manage third party vendors
-Analyze and develop new to market assessments and modeling which includes future Medicare geographic expansion and enhancements / changes to other market segments (Commercial potentially)

- 6+ years of data scientist experience
- Associate of the Society of Actuaries (ASA) is required -Experience with Medicare or Medicare Advantage products -Strong knowledge of actuarial reserving, forecasting and medical economics -Expertise in working with medical claims data and using programming languages such as SQL, R, SAS, Python, Snowflake, Tableau/Looker -Ability to work cross functionally and communicate effectively with stakeholders (Operations, Finance, Planning, & Accounting (FP&A), Clinical, etc.) -Bachelor's degree is required

- -Fellow of the Society of Actuaries (FSA) -Bachelor’s degree in Finance, Actuarial Science, Mathematics, Economics, or Business -Experience working with risk-bearing provider groups -Experience in value-based care, including CMS initiatives such as the Medicare Shared Savings Program (MSSP) and ACO REACHPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
We are looking for an experienced engineer to lead design verification and test for the Kuiper satellite electrical power system. In this role you will be responsible for ensuring the satellite electrical power system meets all requirements through testing in different venues and levels of integration. This will include:• Working with system engineers to create verification cross reference matrices to define test coverage and execution across all power system test venues including hardware in the loop and production acceptance testing.
• Using power system design requirements to develop test plans and procedures.
• Define and develop test systems/venues necessary to meet verification goals of the power system, including development and test execution on hardware in the loop integrated test beds.
• Drive test execution for system level verification testing, and support teams working on production test execution.
• Drive test readiness reviews, and verification/qualification test results reviews with multiple cross-team leaders
• Be a technical leader/role model and mentor of other engineers; instilling best practices across the full development and test lifecycles.A day in the life
In this role you will be a member of the satellite power systems team which oversees development and validation of the current and future generation satellite electrical power systems. As a Sr. Power Systems Test Engineer, you will own power system verification and test and will work with other power systems and development engineers to deliver a fully validated power system for the satellite. You will work to develop test plans for the satellite power system that provides full coverage for system requirements. You will function as a lead for power hardware-in-the-loop (PHITL) test beds, ensuring these venues are properly designed to provide verification of the satellite power system. You will also drive reviews for a given campaign of power system validation; pulling in cross-functional teams to review and reach alignment. You will also support production test venues through test definition and data reviews. Finally, as a senior engineer on the team, you will serve as a technical leader and role model, ensuring that the team upholds a high standard, and instilling best practices within the power systems engineering team.
About the team
You will work with a team of top-notch engineers and collaborate with multiple other spacecraft design and integration teams. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve system performance, and manage non-conformances into actionable items and procedural improvements. We want individuals who are ready for this challenge and want to reach beyond what is possible today.

- Experience in developing functional specifications, design verification plans and functional test procedures
- BS degree in electrical engineering or equivalent.
- 5+ years of experience in design or systems architecture role working within power systems or related area of development.
- Experience with complex power systems design.

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience leading interdisciplinary teams to execute product design from concept to production
- Experience with development of hardware in loop testing for automotive and/or aerospace systems.
- System test verification experience in the area of power conversion, power systems, solar, battery, electric vehicles, satellites, or rockets.
- Experience in requirements definition and derivation using modelling, simulation and other analysis tools.
- Experience as a technical lead or manager.
- Experience developing system architecture for multiple subsystems.
- Experience with low-level software development and/or scripting with applications involving testing of power components or integrated power systems.
- Working knowledge of at least one programming language such as Python or C/C++.
- Cross-organizational communication – comfortable evangelizing ideas and concerns clearly and persuasively, in both verbal and written forms

Roles & Responsibilities:- Work closely with the PEs and the portfolio companies to ensure they are successful using our web services, making sure they have the technical resources required.- Handle a high volume of engagements and the fast pace of the cloud computing market
- Some relevant business level technical knowledge is required, such as: database systems, core distributed computing concepts, fundamentals of cloud computing and virtualization, storage systems, content delivery networks (CDNs) etc. with ability to go deep enough on technical aspects to differentiate between varied AWS services.

- 7+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree or equivalent
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Demonstrated track record of owning and driving business outcomes through executive-level stakeholder relationships, with proven ability to influence strategic decision-making
- 5+ years experience managing Private Equity relationships or working in a Private Equity firmPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
You will contribute directly to AI agent development in a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems.
Key responsibilities include:
* Design, maintain, and enhance tools and workflows that support cutting-edge research
* Adapt quickly to evolving research priorities and team needs
* Stay informed on the latest advancements in large language models and related research
* Collaborate closely with researchers to develop new techniques and tools around emerging agent capabilities
* Drive project execution, including scoping, prioritization, timeline management, and stakeholder communication
* Thrive in a fast-paced, iterative environment, delivering high-quality software on tight schedules
* Apply strong software engineering fundamentals to produce clean, reliable, and maintainable code

- Are 18 years of age or older
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This role will shape the future of advertising. You will be directly contributing to the development of Advertising General Intelligence. Reporting to the VP of Advertising, you will drive innovation in content understanding, policy automation, and GenAI and agentic applications while scaling our capabilities across Amazon's advertising ecosystem. You will drive scaled model development and deployment in a high availability and complex real time ecosystem.This role is working on an Advertising specific Foundational Model and subsequent capabilities. In this role you will solve the hardest science problems facing the Ads business. You will drive innovation through a global organization spanning four continents and must influence across organizations, requiring strong leadership skills in managing distributed teams across time zones and cultures. You have the depth and breadth and domain expertise to provide industry leading science leadership/guidance to the most complex initiatives while also doing hands-on work on the hardest problems that accelerate the team.
Key job responsibilities
Strategic Leadership
* Define and execute the scientific and technical vision for AT's next generation of tools and capabilities.
* Drive innovation in GenAI, LLMs, computer vision, and other emerging technologies.
* Partner with senior leaders across Amazon Advertising to align on strategic initiatives.
* Own the end-to-end delivery of AT's science roadmap.Technical Innovation
* Guide research directions in content understanding, policy automation, and trust & safety
* Drive adoption of emerging technologies while ensuring operational excellence
* Lead technical planning and resource allocation across teams
* Partner with academia and research organizations to advance the state of the art
* Represent AT's technical achievements across multiple venues"

* PhD in Computer Science, Statistics or related field.
* 6+ years of applied ML experience in deploying ML solutions to customer facing products.
* LLM, MLLM, General Multi-Model Experience, or Significant Applied Reinforcement Learning Background

* Experience in shipping large-scale deep learning models for online recommendation, personalization, or search.
* Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
* Experience in building GenAI-based product strategy.
* Evidence of producing internal or external publications that motivate new lines of research.
* Excellent verbal and written communication.