Urwah Admin

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Live Playback Operations team are seeking a Support Engineer to own the operation and end-to-end monitoring of live events on Prime Video. The role involves working with internal and external partners to ensure the video signal for each event is received, routed through our encoding/packaging infrastructure, and successfully delivered to customer devices; on-site from our fully-equipped, industry leading operations centers.
<br>
<br>
Prime Video is the first-stop entertainment destination offering customers a vast collection of premium programing 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 &ndash; 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.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video Live Operations Support Engineer, you&rsquo;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&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented engineers, you can decide where a career Prime Video takes you!<br>
<br>
Key job responsibilities<br>
<ul><li>Work with peers and other teams on high-severity, active support issues, prioritizing mitigation while investigating root-cause fixes</li></ul><br>
<ul><li>Deliver reports to senior leadership</li></ul><br>
<ul><li>Aid in the development and testing of operational tools and AI-powered workflows that improve efficiency through automation</li></ul><br>
<ul><li>Customer notification and workflow co-ordination with follow-up to maintain service level agreements</li></ul><br>
<ul><li>Creating and maintaining team specific knowledge-base articles and operational and training documentation</li></ul><br>
<ul><li>Assist in the training of new support staff as the team grows</li></ul><br>
<ul><li>This role requires working evenings, weekends, and holidays.</li></ul><br>
A day in the life<br>
A typical day could involve;<br>
<br>
<ul><li>Interacting with Prime Video's partners to root cause customer impacting incidents.
</li></ul><br>
<ul><li>Managing ticket queues to ensure issues are addressed quickly, well documented, and tracked for long-term, iterative improvement</li></ul><br>
<ul><li>Working with developers on development roadmaps and helping set priorities for backlog requests</li></ul><br>
<ul><li>Identifying and driving down recurring incidents through OE best practices</li></ul><br>
<ul><li>Representing the team when collaborating with adjacent teams across infrastructure/signal engineering, solution architects and developers.
</li></ul><br>
<ul><li>Scripting and the use of AI to develop automation to improve the team's efficient use of tools and reduction of manual tasks.</li></ul><br>
About the team<br>
Live Playback Operations work on a &lsquo;follow the sun&rsquo; model, with team members located in Seattle, London, and Hyderabad, providing 24/7/365 coverage. We cover a wide range of live events; NFL, NBA, MLB, NHL, UCL, EPL, Copa do Brasil, Serie A, Wimbledon, concerts, and much more, available world-wide on Prime Video. We are growing, and hope you may be part of our exciting future!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of software development, or 2+ years of technical support experience</li><li>Experience scripting in modern program languages</li><li>Experience troubleshooting and debugging technical systems</li><li>2+ years experience with technical support in a live streaming environment; knowledge of video encoding and delivery, acquisition, codecs, adaptive bit rate video playback, common streaming protocols, software support, and related troubleshooting and escalation.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with live broadcast production, transmission, working in a NOC or MCR (Master Control)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 80,200.00 - 130,700.00 USD annually</div><p></p>

Live Ops Support Engineer, Prime Video, Live Playback Operations

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Retail Growth &amp; Development team within Amazon's Worldwide Grocery Real Estate organization is looking for a talented Store Designer to join their team. We are an exciting, fast-moving business unit, where everyone on the team needs to be entrepreneurial, wear many hats and work effectively in a highly collaborative environment. You are the right person for this job if you are a creative problem solver with curiosity and drive for learning and a passion for customers. You must demonstrate the ability to efficiently drive multiple projects throughout all phases of design, permitting and construction administration. We are looking for people who want to join an ambitious, innovative and customer obsessed program.
<br>
<br>
Key job responsibilities<br>
<ul><li>Solutions oriented, proactive and flexible attitude; willingness to take an &ldquo;all hands-on deck&rdquo; approach.</li><li>Translate brand design standards and concepts in an innovative yet fiscally responsible way.</li><li>Work across a large portfolio and multiple banners with a diverse set of programs.</li><li>Manage the design process, interfacing with internal and external design partners.
</li><li>Adapt site specific conditions metrics and standards to store designs.</li><li>Build data driven scope of work with internal stake holders, focused on servicing operating stores.
</li><li>Develop FF&amp;E and D&eacute;cor packages.
</li><li>Work with key internal and external stakeholders in the development and production of comprehensive design development packages.
</li><li>Create presentation packages to communicate design with cross-functional teams and senior leadership.</li><li>Drive and create Schematic Design Packages.
</li><li>Coordinate with Construction, Procurement and Operations Teams on budget and schedule considerations and value engineering efforts.
</li><li>Manage consultants throughout all phases of design through the project lifecycle.
</li><li>Provide Construction Administrative support as needed.
</li><li>Archive completed drawings, redlines, and shop drawings.
</li><li>Obtain landlord approvals per lease requirements.</li><li>Review and approves submittals and shop drawings
</li><li>Demonstrated ability in building and health codes, 3D visualization, and industry trends</li><li>Communicate design vision in visual, written, and verbal formats.</li><li>Manage multiple simultaneous projects requiring frequent communication, organization, time management, and problem-solving skills .</li><li>Work effectively in an extremely fast paced, ambiguous environment.</li></ul><br>
A day in the life<br>
If you thrive in an ever-changing progressive environment, then we want to talk to you. This position will work closely with cross-functional teams, external consultants and vendors throughout the store development process. Oversight of consultant performance is critical. This candidate must have a professional and positive demeanor and possess the ability to communicate effectively with business partners at every level, including leadership.<br>
<br>
About the team<br>
The Worldwide Retail Growth &amp; Development Design team approaches every site with customer obsession from the ground up to offer seamless grocery shopping experiences, whether customers are shopping in-store or online. We are at the forefront of revolutionizing a diverse grocery store network transforming the shopping experience through innovative store design. Our thoughtful designs work backwards form the customer to create experiences that transform everyday grocery shopping into an effortless journey. We optimize store layouts to create intuitive and efficient shopping environments while ensuring our designs are customer obsessed and prioritize workflow efficiency.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in Architecture or Interior Design</li><li>5+ years of commercial retail design or architecture experience</li><li>Intermediate Revit skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Grocery</li><li>Architectural or Interior Design FF&amp;E background</li><li>Experience utlizing Adobe Suite, Bluebeam, Enscape, SketchUp, or SmartSheet</li><li>Knowledge of current sustainability trends and practices</li><li>Experience with design development, construction documents, permitting and construction administration</li><li>Experience working effectively in an extremely fast paced, ambiguous environment</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 64,700.00 - 113,200.00 USD annually<br>
USA, WA, Seattle - 82,700.00 - 113,200.00 USD annually</div><p></p>

Store Designer, Worldwide Grocery Real Estate

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Web Services&rsquo; Hardware Engineering team is looking for experienced professionals to help build the world&rsquo;s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. This role is on-site supporting some of our most complex products allowing you to be hands on to quickly resolve issue. As a member of our Process Quality team, you will work closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to scale up manufacturing processes and ensure we can achieve our throughput and quality targets. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled up at the site and ensuring we hit our manufacturing targets.<br>
<br>
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
<br>
<br>
Key job responsibilities<br>
Scale up manufacturing on new products across a global network.
<br>
<br>
Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors
<br>
<br>
Deliver hands-on technical support during new product introductions and launches
<br>
<br>
Investigate and resolve customer escalations through comprehensive root cause analysis
<br>
<br>
Manage Incoming, In-process and Outgoing Quality of product and collaborate with Supplier Quality teams for RCCA at Upstream suppliers.
<br>
<br>
Drive Operational Readiness Review (ORR) and Ok2Ship for Manufacturing site readiness assessment.
<br>
<br>
Drive Lessons Learned and Continuous improvement framework between Sites.
<br>
<br>
Support local operations by being in the factory daily and through regular domestic and international travel (up to 25%)
<br>
<br>
About the team<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Amazon Web Services (AWS) 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of high volume manufacturing operations or sourcing environments experience</li><li>Bachelor's or Master&rsquo;s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience.</li><li>2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware</li><li>5+ years of product development experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with interdisciplinary teams to execute product design from concept to production</li><li>Experience with the project management of technical projects</li><li>Solid understanding and demonstrated success with practical applications of Lean / Six Sigma tools such as Failure Mode &amp; Effects Analysis (FMEA), Design of Experiments (DoE), Measurement System Analysis (MSA), Analysis of Variance (ANOVA), Hypothesis Testing and Process Capability.</li><li>Six Sigma Green/Black belt, ASQ CQE/M/A certifications are highly desired.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, KY, Florence - 159,200.00 - 215,300.00 USD annually</div><p></p>

Sr. Manufacturing Engineer - Quality, Hardware Engineering - Manufacturing

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Every strikethrough price, reference price, and savings number customers see on Amazon depends on data systems that must be fast, accurate, explainable, and available across the world. This role owns the data foundation behind those experiences. You will design the pipelines, data lakes, and quality mechanisms that help Amazon tell customers when an offer is a good value, power AI shopping experiences with trusted pricing data, and give business leaders a reliable view of how pricing experiences are working at Amazon scale.<br>
<br>
The scale is rare. Your systems feed shopping detail pages, search, cart, deals, international marketplace launches, finance analysis, and executive reviews across tens of marketplaces and billions of customer impressions a day. The leverage is rarer still. A schema choice, freshness contract, or quality standard you set becomes the way many teams across Pricing build, consume, and reason about reference-price data.<br>
<br>
We are looking for a senior data-engineering owner who wants to build, not just operate. The next twelve months include modernizing legacy pipelines onto a more flexible platform, creating new customer-impression datasets, improving data discoverability and lineage, and setting the next-generation organizational data architecture for how Pricing teams build and consume reference-price data. You will also help lead the transformation of data engineering in Pricing into the agentic AI era, using AI agents for migration, validation, and operational leverage while keeping human judgment where architecture, data contracts, and quality bars matter most.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, build, and operate production-grade data pipelines for reference prices, strikethrough prices, savings data, and customer-impression datasets across worldwide marketplaces.</li><li>Build solid data lakes that power S-Team, leadership, finance, product, and analytics requests on reference-price topics, with discoverability, lineage, and quality checks designed in so BIEs and analysts can answer questions quickly and reproducibly.</li><li>Set the data architecture for how upstream pricing signals are transformed into trusted downstream datasets used by shopping experiences, AI features, executive analytics, and ad-hoc deep dives.</li><li>Lead cross-team data contracts across Pricing, Search, shopping detail pages, Deals and Promotions, international marketplaces, and partner teams that consume reference-price data.</li><li>Modernize legacy data pipelines onto modern data platforms, including cutover design, validation strategy, backfill planning, operational readiness, and deprecation of redundant datasets.</li><li>Raise the operational bar for data freshness, completeness, data-quality monitoring, and incident response across high-scale pricing datasets.</li><li>Mentor data engineers and software development engineers on data modeling, pipeline design, migration patterns, and high-quality operational mechanisms.</li><li>Lead the transformation of data engineering across the Pricing organization into the agentic AI era. Define when agents should handle rote migration or validation work, how engineers verify those outputs, and how proven patterns become team-wide standards.</li></ul><br>
A day in the life<br>
You start the morning deep in a design doc, sketching the schema for a new reference-price dataset and writing the freshness contract that downstream teams will build against. Late morning, you ship a small but high-leverage code review that removes duplicate logic from an existing pipeline. You head out to lunch with the software engineering team.<br>
<br>
Back at your desk, you kick off an AI agent to migrate a legacy pipeline onto the modern data platform, then settle into a focused block on the harder pieces of the same modernization: the cutover plan is written, validation jobs are running, and the first batch lands for a downstream consumer to sanity-check. You close the day landing a new dataset version that the BIE team will turn into the weekly business-review slide for an SVP read.<br>
<br>
About the team<br>
Price Perception and Evaluation owns the customer-facing pricing experiences that help customers understand value on Amazon, including reference prices, strikethrough prices, savings messages, and the data foundations behind those experiences. We sit at the intersection of pricing, shopping customer experience, data engineering, product, and analytics. Our work has unusually broad reach because the same data foundation serves production shopping surfaces, AI shopping features, business analytics, and leadership inspection.<br>
<br>
We are a builder-heavy team with a high bar for technical judgment. We value simple architectures, strong ownership, precise data definitions, and mechanisms that make the right thing easy for partner teams. We are also actively changing how data engineering work gets done by using AI agents to accelerate migrations and operations while keeping engineers focused on design, correctness, and long-term maintainability.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience mentoring team members on best practices</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience troubleshooting and documenting findings</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Data Engineer, Price Perception and Evaluation

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, space &amp; occupancy planning, workplace design and construction, capital investment program management and facility maintenance and operations for Amazon&rsquo;s corporate office portfolio across multiple countries. We partner with suppliers to ensure quality, innovation, and operational excellence with Amazon&rsquo;s business and utilize customer driven feedback to continuously improve and exceed employee expectations.
<br>
<br>
GREF&rsquo;s Workplace Design and Construction team is looking for a Preconstruction Manager for capital planning/tenant improvement and renovations. This role focuses on capital planning, renovations, and tenant improvements in owned and leased buildings. Capital planning includes long range planning through project initiation for base building improvements and renovations.
<br>
<br>
This individual is responsible for scoping, design, and preconstruction activities. This individual will collaborate with internal GREF stakeholders and customers through the project planning and initiation phases to align on scope, budget, and schedule. This individual must be comfortable operating on both strategic and tactical levels, acting as an internal ambassador, educator, analyst, and implementer from a design and construction perspective. The role involves procuring and managing vendor/contractor performance to ensure timely completion, compliance with cost requirements, organizational standards, and other requirements and regulations.
<br>
<br>
Key job responsibilities<br>
<ul><li>Work closely with GREF stakeholders, including portfolio managers, portfolio strategy, occupancy planning, design/sustainability/engineer managers, transaction managers, and finance</li><li>Focus on scope creation, draft project charters for capital improvement and new build design direction.
</li><li>Prepare budgets for forecast and approval, estimate schedules for long range capital improvements and new build construction, and begin the initiation phase for construction execution</li><li>Procure and manage external architects, engineers, consultants, contractors, and subcontractors</li><li>Ensure decisions are made at the appropriate level and Amazon's priorities remain the driving factor</li><li>Lead constructive dialogue to resolve and prevent project issues</li><li>Identify and mitigate risk, keep the scope under control, accelerate progress with timely decisions, identify and clear blockers, escalate appropriately, and ensure compliance with contracts and regulations</li><li>Understand design and construction contracts, exhibits, and provide detailed analysis and approvals of technical matters</li><li>Review and advise on landlord delivery conditions in LOI and lease documents, including premises delivery timing and condition</li></ul><br>
A day in the life<br>
Each day you will represent GREF providing input for the on time and in budget execution of Amazon construction projects, while improving processes. Daily tasks may comprise of long-range strategy discussions, early scope and budget creation, project team procurement, design and construction coordination, and utilizing the Amazon information systems to record and update key project developments. Each day you will be navigating through uncertainty, proactively unblocking project barriers and influencing the best project decisions.
<br>
<br>
About the team<br>
At Amazon, we are all owners and leverage unique opportunities presented to us by owning everything from the design review, permitting, to construction bidding and consultant during construction execution prior to final hand-off to our internal stakeholder. We are a diverse, upbeat, creative, team of designers, engineers and managers working daily to develop innovative sustainable facilities and efficient innovative buildings for our customers. We focus on Delivering Results, our speed for Bias for Action and Insisting on the Highest Standards for our customers.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Architecture, Construction Management, Engineering, or a related field</li><li>Bachelor's degree in Mechanical Engineering, Electrical Engineering, Construction Management or an equivalent engineering science</li><li>Experience as an Architect, Engineer, Construction Manager, Development Manager, Owner's project management representative or in other Commercial Development and Construction related disciplines</li><li>5+ years of professional experience required, a significant portion of which should demonstrate success in one or more of the following areas: Real Estate Development, Architecture/Design, and/or Construction Management</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience as an Architect, Engineer, Construction Manager, Development Manager, Owner's project management representative or in other Commercial Development and Construction related disciplines</li><li>Knowledge of sourcing/procurement, building systems and maintenance, vendor management and customer service</li><li>Experience with legal terms and structures for standard commercial contracts</li><li>University/Undergraduate degree in construction management, business administration, engineering, architecture, interior design, or a similar discipline; or as an alternative to a degree, an additional 10 years of relevant professional experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 82,700.00 - 135,400.00 USD annually</div><p></p>

Development Manager, Workplace Construction & Capital Planning, AMER Preconstruction

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The WW DSP Analytics team is a centralized analytics organization within Amazon's Last Mile Delivery Service Partner (DSP) program. We build best-in-class solutions that enable data-driven decision making across our global DSP ecosystem. Our team partners with internal stakeholders, DSP owners, and cross-functional teams to deliver insights that drive operational excellence, business growth, and the success of small business owners in Last Mile delivery. Our work directly impacts customer experience, driver and station associate experience, DSP success, and Amazon's sustainable growth.<br>
<br>
The goal of Amazon&rsquo;s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!<br>
<br>
We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference to join our team. You will work on some of the most challenging problems in DSP delivery planning and the business health space, applying data science rigor to improve how decisions are made and drive outcomes at scale.<br>
<br>
Key job responsibilities<br>
Develop Science Solutions for DSP Capacity Planning &amp; Business Health: Design and implement data science solutions that optimize Delivery Service Partner (DSP) capacity allocation and business health measurement across the global DSP network. Leverage deep expertise in mathematical optimization and causal inference to identify opportunities for improving capacity planning models, volume share calibration methodologies, and business health measurement systems that drive partner sustainability.<br>
Analyze Sentiment Risks &amp; Business Health Metrics: Analyze sentiment risks and enhance algorithms that support DSP program management, including business health indicators, capacity reliability models, and partner viability frameworks that inform intervention strategies.<br>
Translate Business Requirements into Mathematical Models: Demonstrate strategic thinking by translating high-level DSP capacity planning and business health improvement requirements into optimization formulations and predictive models, and applying them to quantify return on investment for policy changes and network interventions.<br>
Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders and surface business health signals at scale.<br>
Accelerate GenAI Footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity, while raising the bar on data quality and enabling intelligent automation across capacity planning workflows.<br>
Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains, business health metrics, financial data, capacity signals, and operational data, using programming and statistical tools to generate actionable insights.<br>
Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving. Measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP capacity planning strategic needs.<br>
Partner Cross-Functionally: Work closely with Business Intelligence Engineers, capacity planning teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful outcomes.<br>
<br>
About the team<br>
We are the WW DSP Analytics team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We believe in promoting and using ideas to disrupt the status quo.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>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</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>2+ years of data scientist experience</li><li>2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, WW DSP Analytics

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.<br>
<br>
Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
<br>
<br>
Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them.<br>
<br>
Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
<br>
<br>
A day in the life<br>
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.<br>
<br>
About the team<br>
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, Sponsored Products

Join Amazon.com and explore 172   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.