associate creative director (hybrid - seattle, wa)

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store designer, worldwide grocery real estate

associate creative director (hybrid - seattle, wa) Jobs in Seattle

ago senior investigator/analyst, medicaid fraud & abuse division, seattle Jobs in Seattle

asset & wealth management, personal wealth financial analyst - seattle Jobs in Seattle

asset & wealth management, private wealth management, financial analyst - seattle Jobs in Seattle

aws data engineer

lead data scientist pricing data analytics seattle wa

Starbucks

<div>Now Brewing &ndash; Lead Data Scientist! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
As a lead data scientist, you will&hellip; 
Design and Architect the Future Pricing Ecosystem<ul><li>
Build a scalable, data-driven pricing framework that optimizes revenue.</li><li>
Incorporate predictive modeling, and ad hoc analyses into pricing framework. 
Drive Pricing and Revenue management data science</li><li>
Identify pricing and promotion potential through advanced analytics.</li><li>
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.</li><li>
Partner with strategy and finance to align pricing tools with business goals. 
Mentor and Develop Talent</li><li>
Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li>
Foster a culture of innovation and continuous improvement within the analytics team.</li></ul> 


We&rsquo;d love to hear from people with:<ul><li>
5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li>
Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li>
Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li>
Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.</li><li>
Experience building in-house production systems in complex and data-rich domains.</li><li>
Mentoring experience</li></ul> 
Preferred Skills:<ul><li>
Expertise in building Bayesian elasticity models and causal inference</li><li>
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li>
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week. 
Join us and inspire with every cup. Apply today! 
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

Goko Energy

Location: Seattle, WA &mdash; hybrid, with regular in-person shootsEmployment Type: Part-time contract, with potential to convert to full-timeContract Duration: IndefiniteCompensation: $20&ndash;$35 per hour, based on experienceSchedule: Flexible 4- or 8-hour daytime shifts, with occasional evening and weekend availability for eventsAbout GoKoGoKo is a growing beverage brand creating naturally energizing drinks for people who want to stay active, connected and ready for whatever comes next.We are looking for a creative, entrepreneurial Social Media &amp; Content Coordinator to help bring the GoKo brand to life across social media. This role is ideal for someone who is equally comfortable planning a content calendar, writing an Instagram caption, filming a product video and capturing live content at an event.You will work closely with the GoKo team to develop and execute content for Instagram, TikTok, YouTube and other digital channels. Because we are a growing brand, you should be comfortable taking ownership, experimenting with ideas and producing strong work with minimal visual direction.What You&rsquo;ll DoContent Creation and Production<ul><li>Plan, shoot and edit short-form content for Instagram Reels, TikTok, YouTube Shorts and other social platforms.</li><li>Produce a mix of low-fi, platform-native content and polished, high-quality brand content.</li><li>Organize and execute product, lifestyle, founder-led and campaign shoots.</li><li>Capture photo and video coverage at brand activations, retail events, community partnerships and sponsored events.</li><li>Film content in retail stores and at locations throughout the Seattle area.</li><li>Work independently from creative briefs, brand guidelines or high-level direction.</li><li>Edit videos using Adobe Premiere Pro or another advanced video-editing platform.</li><li>Repurpose existing footage into multiple formats, hooks and platform-specific variations.</li><li>Maintain an organized library of raw footage, edited content and other creative assets.</li></ul>Social Media and Copywriting<ul><li>Help manage GoKo&rsquo;s social media content calendar and publishing workflow.</li><li>Write engaging, on-brand captions, video scripts, hooks, calls to action and campaign copy.</li><li>Track emerging content formats, social trends, audio, memes and cultural conversations.</li><li>Translate relevant trends into ideas that feel authentic and distinctive to GoKo.</li><li>Maintain a consistent brand voice across social media channels.</li><li>Support community engagement by responding to comments and identifying opportunities to build relationships with GoKo&rsquo;s audience.</li></ul>Testing and Performance<ul><li>Develop creative variations to test hooks, formats, captions, thumbnails, calls to action and video lengths.</li><li>Conduct A/B tests and use performance data to improve future content.</li><li>Track metrics such as reach, engagement, watch time, completion rate, saves, shares, clicks and conversions.</li><li>Identify patterns in high-performing content and turn those learnings into actionable creative recommendations.</li><li>Contribute ideas for improving GoKo&rsquo;s social media strategy, content systems and audience growth.</li></ul>Creator, Influencer and Affiliate Support<ul><li>Help identify creators, influencers, athletes and community partners who align with the GoKo brand.</li><li>Support creator outreach, product seeding, affiliate initiatives and campaign coordination.</li><li>Maintain organized records of outreach, deliverables, usage rights and performance.</li><li>Help build long-term relationships with creators and community partners.</li><li>Stay informed about developments in influencer, affiliate and creator marketing.</li></ul>Who You Are<ul><li>You have 1&ndash;2 years of experience in social media, content marketing or content production, preferably with a direct-to-consumer brand.</li><li>You are based in or near Seattle, Washington, and are available to attend shoots, events and activations in person.</li><li>You have reliable transportation or another dependable way to travel independently between shoot, retail and event locations throughout the Seattle area.</li><li>You are comfortable creating both low-fi smartphone content and polished, high-quality photo and video assets.</li><li>You have experience with product photography, product videography and event coverage.</li><li>You have working knowledge of Adobe Premiere Pro or another advanced video-editing tool.</li><li>You are a strong writer who can produce concise, engaging and platform-appropriate copy.</li><li>You understand the differences between content created for TikTok, Instagram and YouTube.</li><li>You can take a broad idea and turn it into a finished piece of content without requiring detailed, step-by-step visual direction.</li><li>You are entrepreneurial, resourceful and comfortable working in a fast-moving environment.</li><li>You are a self-starter who takes initiative, solves problems independently and follows projects through to completion.</li><li>You are curious about audience behavior and use performance data to improve your creative decisions.</li><li>You have an interest in influencer marketing, affiliate programs, creator partnerships and community building.</li><li>You are organized and able to manage shoots, assets, deadlines and multiple content projects at once.</li></ul>Nice to Have<ul><li>Experience working with a beverage, food, wellness, fitness or lifestyle brand.</li><li>Experience creating content for an active or outdoor-oriented audience.</li><li>Familiarity with Canva, Adobe Creative Suite, CapCut, Lightroom or similar creative tools.</li><li>Experience using social scheduling, analytics or project-management platforms.</li><li>Basic knowledge of paid social creative and performance marketing.</li><li>An existing network within Seattle&rsquo;s creator, fitness, sports or events community.</li><li>Experience supporting influencer, affiliate or creator campaigns.</li><li>Comfort appearing on camera when needed.</li></ul>What We Offer<ul><li>Competitive compensation of $20&ndash;$35 per hour, based on experience.</li><li>Flexible scheduling with a combination of remote work and in-person shoots.</li><li>An indefinite contract with the potential to convert into a full-time role.</li><li>Meaningful ownership over content ideas, production and experimentation.</li><li>Creative freedom to test new formats and develop original concepts.</li><li>The opportunity to help shape the social presence of a growing consumer brand.</li><li>Opportunities to attend and create content at events throughout the Seattle area.</li><li>The potential for the role and its responsibilities to expand as GoKo grows.</li></ul>How to ApplyPlease submit:<ul><li>Your resume.</li><li>A short note explaining why you are interested in GoKo and this role.</li><li>A portfolio or links to relevant social media, photography, video or brand content.</li><li>Two or three examples of content you personally planned, filmed, edited or wrote.</li><li>A brief explanation of your contribution to each example.</li><li>In your application, please also share a social media trend or content format that you believe GoKo could adapt effectively and explain how you would make it feel distinctive to the brand.</li></ul>This role supports no visa sponsorship. You must be authorized to work in the United States and not require any current or future employment visa sponsorship.Pay: $21.00 - $35.00 per hourLocation:<ul><li>Seattle, WA 98109 (Preferred)</li></ul>Ability to Commute:<ul><li>Seattle, WA 98109 (Preferred)</li></ul>Work Location: In person

Social Media & Content Coordinator

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
At AWS Cloud &amp; AI Innovation team, our mission is to accelerate customer adoption of AI and maximize the value they get from this technology.
 
 
As Applied Scientist on our team, your focus will be on solving the most complex problems that prevent our customers from successfully adoption AI at scale. You will research new methods for overcoming obstacles that are beyond engineering solutions. These include advanced methods for agent grounding and evals, novel methods for multi-agent orchestration and semantic data layer, and innovative approaches to optimizing customer token costs, just to name a few.
 
 
A successful candidate will have a strong machine learning background, a deep understanding of the AI stack, and a desire to push the envelope in applying AI to the most difficult practical problems preventing adoption at scale and in business-critical situations. 
 
As a senior member of the team, you will own ambiguous, high-impact research problems end-to-end &mdash; from defining the scientific direction to conducting the research, to packaging it into a reusable solution that the rest of the team can apply in customer-facing engagements.
 
 
As an Applied Scientist, you will leverage your technical expertise to set the research agenda for how we measure conversational quality, mentor engineers and architects, and partner across science, engineering, and business teams. You will analyze and understand customer experiences and develop novel approaches to solving complex problems in applied AI.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, CAIT

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Here's the job description with causal ML woven in: 
 
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon. 
 
This role requires an individual with exceptional machine learning modeling and architecture expertise &mdash; particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. Equally important is deep expertise in causal machine learning &mdash; including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) &mdash; to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit. 
 
We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment. 
 
Key job responsibilities 
See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale. 
 
Build strong collaborations. Partner with product, engineering, and science teams within Pricing &amp; Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures &mdash; including sequence models and transformers &mdash; for large-scale price prediction and optimization. 
 
Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems. 
 
Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. Leverage statistical rigor and modern deep learning approaches to validate hypotheses and drive measurable pricing improvements. 
 
Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise &mdash; including deep neural networks, attention-based models, and applied statistical analysis &mdash; to incrementally move the needle on some of our hardest pricing problems. 
 
A day in the life 
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through: 
 
<ul><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.</li><li>Error detection and price quality guardrails at scale.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul> 
Price is a highly relevant input into Stores architectures; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication. 
 
About the team 
The Pricing Optimization science group builds and refines Amazon's algorithmic pricing and promotion models at scale. Our team combines expertise in deep learning, transformer architectures, applied statistics, and probabilistic forecasting to develop price prediction systems that directly impact the customer experience. The team also brings hands-on experience with causal modeling and inference &mdash; including uplift modeling and treatment effect estimation &mdash; to rigorously measure the impact of pricing decisions on customer behavior and business outcomes. We partner closely with product, engineering, and business teams to take solutions from research through production deployment.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>4+ years of applied research experience</li><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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's mission is to be Earth's most customer-centric company, and our Amazon Customer Service (CS) organization is an essential part of that mission. CS is one of the largest customer service organizations in the world with hundreds of thousands of associates providing support 24/7 in over 22 languages. 
 
The Network Solutions org within CS is building intelligent, adaptive systems that match customers to optimal experiences and continuously improve service quality at scale. The Journey Management (JM) Team within Network Solutions is looking for a Senior Business Intelligence Engineer to own the data modeling, analytics, and metrics infrastructure for Precision Match, the foundational capability that routes customers to the right support the first time for complete resolution. Journey Completion is the learning and corrective arm of Journey Management building Match Quality Intelligence that runs the flywheel to continuously refine matching quality and develops associates. 
 
In this role, you will design analytics-ready data models that transform raw pipeline data into structured datasets enabling inspection of matching quality at scale. You will own executive-facing dashboards and automated reporting for P0 Precision Match metrics including First Contact Resolution Rate, Transfer Rate, repeat contact rates, and attribution breakdowns. You will build BI capabilities that enable cross-functional partners to inspect matching performance and surface actionable insights without ad-hoc manual analysis. You will partner with engineering and science teams to define metrics governance, ensure data fidelity, and establish sources of truth for Precision Match reporting. 
The ideal candidate is a self-starter comfortable with ambiguity who communicates effectively across technical and non-technical teams and seeks to tell the story of the data with little direction. 
 
Key job responsibilities 
As the Senior Business Intelligence Engineer (BIE) for Journey Completion, you will be the single-threaded owner of the analytics and reporting infrastructure that powers Precision Match decision-making. You will operate at the intersection of data engineering, business intelligence, and product analytics, building systems that make matching performance visible, measurable, and actionable for leadership and cross-functional partners across a global CS network serving 500M+ annual contacts. 
 
Data Modeling and Dataset Engineering 
<ul><li>Design and build analytics-ready data models transforming raw pipeline data from matching, routing, and contact resolution systems into structured, queryable datasets.</li><li>Develop enriched datasets combining internal contact, associate, and routing data with attribution signals, applying data quality checks and ensuring source-to-consumption fidelity.</li><li>Work with cross-functional stakeholders to define and maintain sources of truth for Precision Match metrics. Obsessively monitor data fidelity and own resolution when issues arise.</li></ul> 
Executive Reporting and Dashboards 
<ul><li>Build and own executive-facing dashboards and automated reports (daily, weekly, monthly business reviews) for P0 Precision Match metrics and attribution breakdowns.</li><li>Create standardized reporting and operational templates driving consistent metrics tracking across Journey Management leadership.</li></ul> 
Analytics and Business Intelligence 
<ul><li>Develop analytics solutions enabling cross-functional partners to inspect matching performance, identify trends, and surface actionable insights at scale.</li><li>Manipulate and mine data from Redshift, MySQL, and other sources to perform root cause analyses on matching failures, answer complex business questions, and surface new insights on routing quality and associate performance.</li><li>Quantify Precision Match performance through attribution modeling distinguishing suboptimal matching from planning/supply factors and associate execution gaps.</li><li>Lead business discussions to share insights, challenge status quo, and provide forward-looking recommendations to enable strategic decision making and growth of Precision Match.</li></ul> 
AI-Enhanced Reporting 
<ul><li>Build AI-powered reporting solutions including LLM-assisted insights, automated narrative generation, and intelligent alerting extending what stakeholders can do independently with data.</li></ul> 
Cross-Functional Partnership 
<ul><li>Partner with engineering and science teams on metrics governance and data capture at source.</li><li>Translate complex business needs into clear data solutions across Journey Management, Precision Match science, and associate development teams.</li></ul> 
About the team 
You will be part of a Product and Technology team in Customer Service/ Network Solutions org building the intelligence to understand why a match results in a transfer or repeat contact, applying attribution logic that distinguishes suboptimal matching from planning/supply factors and associate execution gaps. You will work alongside SDEs, BIEs, Data Engineers, Scientists, TPMs, and Product Managers to build the closed-loop feedback system continuously optimizing matching and developing associates serving 500M+ annual contacts.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of developing automated reporting experience</li><li>5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with AWS technologies</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually</div>

Senior Business Intelligence Engineer, Amazon Customer Service

Board & Vellum

Job OverviewAre you passionate about creating spaces that tell a story? Do you thrive on leading complex design ideas from first sketch through diligent execution? Board &amp; Vellum is looking for an experienced designer to join our Interior Design studio. You will primarily focus on residential interiors for single‑family clients, and you will bring depth, judgment, and mentorship to a team working across custom residential, multifamily, commercial, and civic projects. We&rsquo;re a dynamic architecture, interior design, and landscape architecture studio located in Seattle, Washington, where collaboration, creativity, and storytelling shape everything we do. We&rsquo;re looking for someone who pairs beautiful, thoughtful design work with the technical precision and client fluency that only comes with experience. As a firm practicing across diverse sectors, our studio harnesses a systematic approach and applies it not only to our multifamily and commercial work, but to our custom residential work as well.This job is in-person, full-time, in our new office in Seattle's iconic Smith Tower.What You'll Bring to the Team<ul><li>Experience: 8+ years of professional design experience with a strong single-family residential portfolio, and a degree in interior design.</li><li>Technical Proficiency: Solid skills in Revit and Adobe Creative Suite are a must. Bonus points for Enscape.</li><li>Documentation Skills: You author and review redlines with confidence. You lead the assembly of contract documents and bring a deep command of construction documents, finishes, and material applications.</li><li>Project Leadership: You independently drive projects forward, manage scope and schedule, anticipate issues before they surface, and deliver high-quality results without needing a task list handed to you.</li><li>Design Acumen: You love making things beautiful through a creative eye for detail and a passion for storytelling. You set the design direction on your projects and can articulate why every choice serves the larger narrative.</li><li>Research &amp; Compliance: Fluent in finish systems, materials, fixtures, and product selections, and able to defend design decisions with the research behind them. Working knowledge of applicable codes and accessibility standards.</li><li>FF&amp;E Selection: Deep experience selecting and specifying furnishings, lighting, hardware, window coverings, materials, and finishes across project types and budgets.</li><li>FF&amp;E Procurement: Experience owning FF&amp;E proposal packages, purchase orders, vendor relationships, and expediting from order through installation.</li><li>Consultant &amp; Vendor Coordination: Comfortable directing consultants, coordinating with contractors and fabricators, and holding the line on quality through construction administration.</li><li>Mentorship: You enjoy developing less experienced designers, giving generous feedback, and raising the bar for the whole studio.</li><li>Communication Skills: You lead client conversations with confidence, translate design intent into plain language, and navigate difficult moments with grace. You do what you say you&rsquo;re going to do.</li><li>Excitement for a Variety of Project Types: You are excited to work on a variety of project types including custom residential, low and mid-rise multifamily residential and mixed-use, commercial, and civic projects.</li><li>Multitasking: You will work on a number of projects of varying scales at one time, so being able to handle the mix and stay organized is essential.</li></ul>What You'll Do<ul><li>Lead multi-disciplinary project teams to develop design concepts and documentation, ensuring alignment with client goals and project narratives.</li><li>Own the design vision on your projects, curating gorgeous material palettes and pulling together packages the whole studio is proud of.</li><li>Manage project deliverables, budgets, and schedules, serving as a primary point of contact for clients and consultants.</li><li>Produce and oversee design documentation and technical drawings in Revit with precision and efficiency.</li><li>Mentor emerging designers through review, critique, and day-to-day collaboration.</li><li>Contribute to a collaborative studio culture where your voice and ideas shape how we work.</li></ul>Pay: $90,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Referral program</li><li>Retirement plan</li><li>Vision insurance</li></ul>Experience:<ul><li>professional design: 8 years (Preferred)</li></ul>Location:<ul><li>Seattle, WA 98104 (Preferred)</li></ul>Ability to Commute:<ul><li>Seattle, WA 98104 (Required)</li></ul>Ability to Relocate:<ul><li>Seattle, WA 98104: Relocate before starting work (Required)</li></ul>Work Location: In person

Interior Designer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
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. 
 
Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS&rsquo; Infrastructure Supply Chain &amp; Procurement organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! 
 
Amazon Web Services (AWS) is seeking a highly effective candidate to identify, create, develop and integrate innovative technology to deliver the best operating, lowest cost infrastructure in the world.
 
 
This role will lead sourcing, pricing, geo-diversity, second source manufacturing and supplier relationship efforts for supply resiliency for networking, storage, core compute and AI/ML products added to our product roadmap. This role will manage the additional supply chain complexity when qualifying suppliers and manufacturing lines when transitioning from development to mass production. Additionally, this role will deliver our component multi-sourcing strategies, pricing, and enable contract manufacturing for the same platforms to ensure supply chain resiliency for our expanding platform roadmap. This role will be the primary supplier contacts focussed on: capacity planning, and contract agreements during product development so that at launch, manufacturing capacity is scalable to meet our customer needs.
 
 
AWS serves over a million active customers in more than 190 countries. We are steadily expanding global infrastructure to help our customers achieve lower latency and higher throughput. As our customers grow their businesses, AWS will continue to provide infrastructure that meets their global requirements. 
 
Key job responsibilities 
<ul><li>Develop and implement Mechanical sourcing strategies for AWS hardware infrastructure.</li><li>Develop and implement sourcing strategies for AWS hardware infrastructure.</li><li>Understand industry and technology trends.</li><li>Identify key technology trends in the industry and drive supplier product roadmaps and execute on strategic initiatives in those products.</li><li>Negotiate and implement complex supplier agreements and contracts by working with cross-functional stakeholders.</li><li>Develop negotiations strategies to deliver against business objectives and achieve sustainable relationship with suppliers.</li><li>Responsible to provide weekly core-team updates, deliver executive level updates on a monthly basis, and will be responsible for vendor escalations in order to resolve any issues related to his/her category.</li><li>Present to senior leadership via written narratives.</li></ul> 
About the team 
Professional traits that are necessary for Amazon leaders: 
<ul><li>Exhibits excellent judgment</li><li>Has high standards (is never satisfied with the status quo)</li><li>Is able to dive deep and is never out of touch with the details of the business</li><li>Expects and requires innovation of her/his team</li><li>Has passion and convictions and the innate ability to inspire passion in others</li><li>Strong results orientation</li><li>Thinks big</li></ul> 
Why AWS 
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. 
 
Diverse Experiences 
Amazon 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. 
 
Work/Life Balance 
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. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and Career Growth 
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.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of responding to requests for proposals (e.g., determining requirements, matching requirements to technical approach and solutions, developing solutions against requirements) experience</li><li>6+ years of Global Category Manager experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent</li><li>Bachelor's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

Technical Sourcing Manager, AWS Custom Modules

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