data scientist, algorithms - growth Jobs in Seattle United States

data scientist, algorithms - growth

scientist, predictive biology and ai Jobs in Seattle United States

scientist, predictive biology and ai

senior manager, data science, generative ai innovation center Jobs in Seattle United States

senior manager, data science, generative ai innovation center

data scientist algorithms growth

Lyft

<div>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models/tools that power our internal and external products.

We are seeking a Data Scientist with expertise in experimental design and causal inference to join the Growth team. This role is pivotal in shaping how Lyft expands its user base (drivers and riders) and involves building robust systems for measuring short- and long-term impact in a dynamic marketplace. Some products we work on are incentive targeting, budget optimization via customer LTV, and paid media campaigns.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Drive the entire lifecycle of data science solutions for Growth, from defining the problem with cross-functional stakeholders to deploying production models that address key business problems</li>
<li>Build statistical models/pipelines, write production code, design and implement experiments</li>
<li>Perform exploratory data analysis and evaluate experiments</li>
<li>Oversee growth experimentation, including process development, success criteria definition, team guidance, and the creation of new experimentation methodologies</li>
</ul><h2 class="jobSectionHeader">Experience:</h2>
<ul><li>Advanced degree in a quantitative field like statistics, economics, or mathematics; or relevant work experience</li>
<li>4+ years of hands-on industry experience in causal inference or data science</li>
<li>Track record of using statistics and guiding teams through unstructured technical problems to deliver business impact</li>
<li>Fluency in SQL/data querying and experience with large-scale data platforms</li>
<li>Proficiency with Python and working in a production coding environment</li>
<li>Ability to collaborate and communicate with others to solve a problem</li>
<li>Strong oral and written communication skills, and ability to collaborate with cross-functional partners</li>
</ul><h2 class="jobSectionHeader">Benefits: 
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>
</ul>
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $135,160 - $170,200. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</div>

Data Scientist, Algorithms - Growth

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon&rsquo;s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers&rsquo; shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey.
 
 
Key job responsibilities 
As a Sr. Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning.
 
 
Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in ML models, particularly using NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skillset. 
 
Major responsibilities: 
 
<ul><li>Use statistical and machine learning techniques to create scalable and lasting systems.</li><li>Analyze and understand large amounts of Amazon&rsquo;s historical business data for Recommender/Matching algorithms</li><li>Design, develop and evaluate highly innovative models for NLP/CV.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.</li><li>Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision</li></ul> 
A day in the life 
In this role, you&rsquo;ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li><li>4+ years of applied research experience</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Creators

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale. 
 
We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to 
&bull; Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products &bull; Pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination &bull; Build production-scale generative AI systems for fee integrity and seller communications &bull; Advance the field of ML through novel research in high-stakes, large-scale transaction processing &bull; Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes &bull; Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning, economics, and large business systems. 
 
If you're passionate about advancing the state-of-the-art in applied ML/AI while tackling challenging problems at global scale, we want you on our team! 
 
Key job responsibilities 
Responsibilities: 
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements. 
<ul><li>Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.</li><li>Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.</li><li>Research and implement novel machine learning, statistical and econometrics approaches.</li><li>Write high quality code and implement scalable models within the production systems.</li><li>Stay up to date with relevant scientific publications.</li><li>Collaborate with business and software teams both within and outside of the fees organization.</li></ul> 
About the team 
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Seller Fees Science

ALLEN INSTITUTE

<div>Scientist I &ndash; Human Cell Types - Alzheimer's Disease
The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world. The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
The Seattle Alzheimer&rsquo;s Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer&rsquo;s disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available. We are seeking a highly motivated Scientist to contribute to this effort by designing and executing experiments at the interface of neuroanatomy, single-cell genomics, and histology. The Scientist will generate precisely dissected, high-quality human brain tissue samples, optimize and validate molecular and single-cell assays, and execute experiments (e.g., in situ hybridization, immunostaining) to validate computational findings. Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human brain in health and disease. The ideal candidate will have a strong foundation in molecular neuroscience, experience with single-cell transcriptomic and/or epigenomic assays, and a working knowledge of Alzheimer&rsquo;s disease biology. Familiarity with human neuroanatomy and enthusiasm to deepen anatomical expertise are also essential.
At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
<ul><li>Contribute to the design and execution of large-scale single-cell genomics experiments
</li><li>Participate in the development and testing of new single-cell methods and protocols</li>
<li>Optimize protocols for challenging samples, troubleshoot workflows for variable tissue quality, and evaluate tissue and sequencing library quality using standard metrics
</li><li>Conduct basic analysis of single-cell genomics data, including benchmarking of new methods
</li><li>Design and execute experiments to validate and extend computational results and generate novel biological insights</li>
<li>Present progress in group meetings and at scientific conferences, and contribute to peer-reviewed publications</li>
<li>Assist in management of tissue acquisition and sample tracking
</li><li>Maintain meticulous experimental records to ensure reproducibility across tissue donors and adherence to best practices for tissue handling, biosafety, and data integrity</li>
<li>Actively contribute to a collaborative environment focused on scientific rigor and methodological innovation</li>
</ul>
*Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.*
Required Education and Experience
<ul><li>PhD degree in Neuroscience, Molecular Biology, Genomics, or related field, or equivalent combination of degree and experience</li>
<li>Demonstrated experience conducting independent experimental research and interpreting complex biological data</li>
<li>Broad knowledge of and experience with single-cell genomics platforms</li>
</ul>
Preferred Education and Experience
<ul><li>Proficiency in independently conducting single-cell genomics assays</li>
<li>Hands-on experience with human postmortem or surgical brain tissue, including dissection, nuclei isolation, and nucleic acid extraction
</li><li>Proven ability to troubleshoot complex molecular biology protocols and optimize workflows for variable sample quality</li>
<li>Basic experience or familiarity with multicolor flow cytometry</li>
<li>Basic familiarity with human neuroanatomy and willingness to expand anatomical knowledge</li>
<li>Proficiency in tissue sectioning, histological stains, and/or immunofluorescence panel optimization
</li><li>Ability to capture and analyze high-quality images using confocal or fluorescence microscopy and to quantify results with ImageJ/Fiji, QuPath, or similar applications</li>
<li>Experience with Python and/or R for basic data analysis and visualization and an understanding of core single-cell data analysis concepts (e.g., QC, clustering, marker identification)</li>
<li>Working knowledge of AD pathology and molecular mechanisms of disease</li>
<li>Excellent communication skills and comfort working in large, multidisciplinary teams to pursue collaborative research goals
</li><li>Strong quantitative and organizational skills, with attention to data quality and integrity</li>
</ul>
Work Environment
<ul><li>Laboratory environment - possible chemical, biological, or other hazardous substances exposure
</li><li>Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses</li>
<li>This may include wearing personnel protective equipment (PPE)</li>
<li>Working with dry ice or liquid nitrogen</li>
<li>Sample handling of the following material, including but not limited to: human brain tissues, non-human primate brain tissues, human whole blood, PBMCs, plasma, nucleic acids, and cells</li>
</ul>
Physical Demands
<ul><li>Occasional lifting up to 30 pounds</li>
<li>Fine motor movements in fingers/hands to operate computers and other office equipment, repetitive motion with lab equipment</li>
<li>Stooping, bending, crouching
</li><li>Reaching or climbing ladders
</li></ul>Position Type/Expected Hours of Work
<ul><li>This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis.
</li></ul>Additional Comments
<ul><li>**Please note, this opportunity offers relocation assistance**</li>
<li>**Please note, this opportunity may offer work visa sponsorship**</li>
</ul>
Annualized Salary Range
$86,150 - $106,650*
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities</div>

Scientist I - Alzheimer's Disease

<div>Description
Senior Scientist &ndash; Structured Decision-Making (SDM) Quantitative Fish Biologist
Location: San Francisco, Sacramento, or Remote 
Team: Fish and Aquatic Science and Technology (FAST) at ICF
About the Opportunity
ICF is growing! We&rsquo;re looking for a Senior Scientist with expertise in structured decision-making, quantitative fisheries biology, and advanced statistical modeling. Join our team to lead innovative research, mentor talented colleagues, and make a real impact on fisheries science in the Northern California and the Pacific Northwest.
What You&rsquo;ll Do
Lead Research &amp; Analysis: Design studies, analyze complex biological data, and develop advanced models for a variety of fish species.
Drive Innovation: Identify and pursue new research opportunities, focusing on applied quantitative modeling and structured decision-making.
Mentor &amp; Collaborate: Guide junior staff, facilitate decision-making processes, and work closely with the FAST team.
Communicate &amp; Represent: Present findings at scientific conferences, publish peer-reviewed papers, and contribute to regulatory documents.
Project Leadership: Manage multiple projects, serve as Project/Task Lead, and maintain strong client relationships.
Proposal Development: Write proposals, develop project scopes, and manage budgets for new research initiatives.
Field &amp; Data Work: Balance time between data analysis and fieldwork in streams or on boats as needed.
Basic Qualifications<ul><li>
Bachelor&rsquo;s Degree</li><li>
8+ years of experience in fisheries biology, with a proven record of research funding and project leadership</li></ul>
Additional Skills/Experience<ul><li>
Advanced Degree in fisheries, biology, or a related discipline preferred</li><li>
Expertise in statistical modeling, machine learning, and simulation using R and Python</li><li>
Demonstrated ability to manage and analyze large datasets, create visualizations, and communicate results effectively</li><li>
Strong leadership skills, including mentoring junior staff and fostering collaboration</li><li>
Excellent organizational skills; adept at managing multiple projects with competing deadlines</li><li>
Superior verbal and written communication abilities, with a talent for presenting complex information to diverse audiences</li><li>
Recognized professional standing and network within fisheries science</li><li>
Commitment to high-quality work, professionalism, and a positive, collegial attitude</li></ul>
Why Join ICF?<ul><li>
Make a real impact on fisheries science and resource management.</li><li>
Collaborate with leading experts and contribute to meaningful environmental solutions.</li><li>
Enjoy opportunities for professional growth, leadership, and recognition in your field.</li></ul>
Working at ICF
ICF is a global advisory and technology services provider, but we&rsquo;re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.<div>
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records. 
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</div><div>
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.</div><div> 
Candidate AI Usage Policy</div><div><div>
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.</div><div>
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.</div></div> 
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,094.00 - $137,860.00
Washington Remote Office (WA99)</div>

Senior Structured Decision-Making Expert / Biometrician

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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. 
 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Sponsored Product Off-Search

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you. 
 
As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. At the edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers. 
 
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. 
 
Key job responsibilities 
<ul><li>Partner with laboratory science teams on design and analysis of experiments</li><li>Originate and lead the development of new data collection workflows with cross-functional partners</li><li>Develop and deploy scalable bioinformatics analysis and QC workflows</li><li>Evaluate and incorporate novel bioinformatic approaches to solve critical business problems</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 5+ years of quantitative field research experience</li><li>Experience analyzing both experimental and observational data sets</li><li>Knowledge of R, MATLAB, Python or similar scripting language</li><li>Expertise in genomic sequence analysis, homology search, genome annotation, phylogenomics, and interpretation of those results</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience analyzing large-scale biological sequence datasets</li><li>Experience collaborating with cross-functional life sciences teams, including R&amp;D scientists, ML engineers, and lab personnel</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Research Scientist II, Special Projects

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