applied scientist, aws applied ai solutions

applied scientist, customer experience and business trends

ai and data mid-market sales engineer senior manager

anesthesia technician, capitol hill (40 hrs)

machine learning engineer Jobs in Seattle

machine learning engineer

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

applied scientist, pricing science Jobs in Seattle

applied scientist, pricing science

applied scientist, spx ai lab Jobs in Seattle

applied scientist, spx ai lab

machine learning scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide.<br>
<br>
We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and business acumen, and an entrepreneurial spirit.
<br>
<br>
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 independently to deliver business impact.<br>
<br>
Key job responsibilities<br>
<br>
<ul><li>See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques</li></ul><br>
<ul><li>Build strong collaborations. Partner with product, engineering, and data teams within Pricing &amp; Promotions to deploy models at Amazon scale</li></ul><br>
<ul><li>Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems</li></ul><br>
<ul><li>Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.</li></ul><br>
<ul><li>Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.</li></ul><br>
A day in the life<br>
We are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through:<br>
<br>
<ul><li>invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
</li><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>Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
<br>
About the team<br>
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>2+ years of hands-on predictive modeling and large data analysis experience</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with training and deploying machine learning systems to solve large-scale optimizations</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.
<br>
<br>
We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale &mdash; owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.
<br>
<br>
Key job responsibilities<br>
<ul><li>Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.</li><li>Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.</li><li>Research and implement novel machine learning and statistical approaches.</li><li>Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.</li></ul><br>
About the team<br>
Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce &mdash; not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li><li>Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting</li><li>Experience identifying opportunities to integrate AI solutions into products and services to drive business value.</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, SPX AI Lab

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in working in the exciting space of Generative Artificial Intelligence (GenAI) to build Agents that will test Amazon product experience and inform how teams across Amazon think about designing world-class products? Amazon is looking for an experienced, talented, and highly motivated Research Scientist to join our Customer Experience and Business Trends (CXBT) team.
<br>
<br>
The right candidate has an unrelenting tenacity to drive business impact, strong communication skills, ability to influence through data, and is capable of breaking down and solving complex and ambiguous problems.<br>
<br>
As a Research Scientist, you have expertise in research design best practices and identifying the appropriate research methodology based on the defined business objectives. You are a self-starter who thrives in ambiguity and can creatively solve problems. You have excellent business judgment and operate with a strong sense of urgency and commitment. You will have the ability to work with and influence businesses in a global setting and drive strategic change across Amazon.
<br>
<br>
You will be responsible for delivering innovative GenAI products utilizing Agents, and developing and launching novel ways to create datasets that will monitor Amazon's performance across multiple modalities (e.g., speech, text, image, video, audio) based on Amazon's breadth of product offerings. You will work closely with product managers and engineers to develop new methodologies utilizing GenAI technologies and Natural Language Processing (NLP).
<br>
<br>
We are looking for a passionate, talented, and inventive Sr. Research Scientist with a background in Machine Learning (ML) and Large Language Models (LLMs) to help build industry-leading GenAI Agent and Data Generation technology.<br>
<br>
Key job responsibilities<br>
<ul><li>Work with talented peers to develop novel algorithms and modeling techniques to drive the state of the art in speech synthesis.</li><li>Participate in the design, development, evaluation, deployment and updating of data-driven models for GenAI agents and data set generation applications.</li><li>Participate in research activities including the application and evaluation of Agent techniques for novel applications.</li><li>Research and implement novel ML and statistical approaches to add value to the business.</li><li>Mentor junior engineers and scientists.</li><li>Build strategic relationships with stakeholders at multiple levels of the organization.</li><li>Partner with team members including engineering, product managers, data science, and business intelligence engineers to inform solution design and ensure study success.</li><li>Contribute to a team culture of experimentation and innovation.</li></ul><br>
About the team<br>
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon &ndash; for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).<br>
<br>
Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of quantitative field research experience</li><li>Experience investigating the feasibility of applying scientific principles and concepts to business problems and products</li><li>Experience analyzing both experimental and observational data sets</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of R, MATLAB, Python or similar scripting language</li><li>Experience with agile development</li><li>Experience building web based dashboards using common frameworks</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, VA, Arlington - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Research Scientist, Customer Experience and Business Trends

Opendoor

<div>
 <strong>
  Data Scientist, Pricing
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Location: In office 4 days a week
  </strong>
  ; Seattle WA.
  <br/>
  <br/>
 </em>
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 <br/>
 <br/>
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain pricing metrics, dashboards, and frameworks.
  </li>
  <li>
   Run experiments and causal analyses to measure impact and drive decisions.
  </li>
  <li>
   Develop predictive + statistical models that improve pricing accuracy.
  </li>
  <li>
   Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  </li>
  <li>
   Deliver insights and narratives that inform executive strategy.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  </li>
  <li>
   Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  </li>
  <li>
   Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  </li>
  <li>
   Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  </li>
  <li>
   Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  </li>
  <li>
   High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  </li>
  <li>
   Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Base salary range for this role varies. Generally, the base salary range is $170,400 &ndash; $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
  <br/>
  <br/>
 </em>
 JR 9200
 <br/>
 <br/>
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 <br/>
 <br/>
</div>


Data Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated AI solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement solutions that extend or adapt scientific approaches for customer needs</li><li>Deliver components into production that meet high quality standards (efficient, reproducible, testable code)</li><li>Produce science outputs demonstrating correctness, scholarship, and scientific rigor</li><li>Work with product, engineering, and science teams to deliver impactful AI features</li><li>Contribute to operational excellence in the team's deliverables</li></ul><br>
About the team<br>
AWS Solutions<br>
<br>
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</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, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AWS Applied AI Solutions

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.
<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>
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.<br>
<br>
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.<br>
<br>
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions.<br>
<br>
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.<br>
<br>
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.<br>
<br>
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.<br>
<br>
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.<br>
<br>
You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.<br>
<br>
Key job responsibilities<br>
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul><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>
*Why AWS*<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>
*Diverse Experiences*<br>
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.<br>
<br>
*Work/Life Balance*<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>
*Inclusive Team Culture*<br>
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) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources 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, VA, Herndon - 108,300.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div><p></p>

Data Scientist, AWS Infrastructure Services Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join their team. CXBT's mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.<br>
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The ideal candidate will have expertise in Large Language Models (LLMs), speech, audio, Natural Language processing (NLP) or multimodal learning to pioneer innovations in data simulation, representation, generation, reasoning, retrieval, and evaluation.<br>
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Key job responsibilities<br>
<ul><li>Build scalable solutions for real-time conversational experiences, including multilingual support, customizable personalities, and conversational turn-taking.</li><li>Develop data simulation approaches that mimic real-world speech interactions.</li><li>Research and implement novel algorithms and modeling techniques.</li><li>Acquire and curate diverse datasets while ensuring user privacy.</li><li>Create robust evaluation metrics and test sets to assess language model performance.</li><li>Integrate human feedback to improve data selection and model performance.</li><li>Innovate in data representation and model training techniques.</li><li>Apply responsible AI practices throughout the development process.</li></ul><br>
A day in the life<br>
Our team is dedicated to improving Amazon's products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customers' experiences, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies.<br>
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About the team<br>
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings &ndash; for almost every business at Amazon &ndash; for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).<br>
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Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds &ndash; including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.</div><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>
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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, VA, Arlington - 167,100.00 - 226,100.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Customer Experience and Business Trends

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