senior product development scientist

izil Beauty

<div>
 
 We are looking for a talented and analytical
 
 NPD Senior Scientist
 
 to join our growing team. As the NPD Senior Scientist, you will work with autonomy and be guided by the NPD manager to develop products, perform cost improvement projects, lead product troubleshooting, improve product performance and stability, and develop innovative products. The successful candidate will have in-depth knowledge of cosmetic formulations and product lifecycle knowledge, Microsoft tools and AI to assist in the product development phase, lab experiment tools (DOE), a deep understanding of project management, scale-up knowledge, and chemical understanding of raw materials and functions.
 
 
 
 
 
 
 Job Description:
 
 
 
 1. Lead formulation development activities with up-to-date knowledge of emerging market trends, diverse product aesthetics and textures, advanced technologies, and innovative cosmetic ingredients, ensuring compliance with Halal, COSMOS, and GSO regulations.
 
 
 2. Demonstrate strong formulation expertise and ingredient selection knowledge in accordance with Halal, COSMOS, and GSO guidelines, balancing performance, safety, sustainability, and cost.
 
 
 3. Formulate and develop cosmetic and personal care products across skincare, haircare, makeup, and toiletries, including research, evaluation, and selection of raw materials and actives based on efficacy, safety, and cost-effectiveness.
 
 
 4. Drive product innovation by supporting marketing claims, conducting product safety assessments, substantiating claims, developing differentiated concepts, and executing cost-effective formulation optimization and reformulation strategies.
 
 
 5. Possess in-depth knowledge of stability studies, product performance evaluation, consumer study and protocol preparation and compliance requirements under GSO cosmetic regulations.
 
 
 6. Lead formulation scale-up activities from laboratory to pilot and full-scale manufacturing, ensuring product quality and consistency.
 
 
 
 
 
 
 Requirements:
 
 
 
 ● Bachelor's degree in chemistry, Cosmetics, Pharmaceutical, or a related area (to be evaluated during CV selection).
 
 
 ● A minimum of 6 to 8 years&rsquo; experience in a similar role in beauty care.
 
 
 ● Advanced knowledge in statistics and lab experiment methodologies (DOE).
 
 
 ● Good analytical view, verbal and written communication skills, discipline, and customer focus.
 
 
 ● Advanced knowledge in project management tools.
 
 
 ● Effective communication and teamwork skills.
 
 
 ● Advance understanding of Microsoft tools.
 
 
 ● Deep chemical understanding of products, raw materials, specifications
 
</div>

NPD Senior Scientist

The Hershey Company

<div>Job Location: Hershey, PA 


Summary:

Reporting to the Sr. Manager, Sensory Innovation and working at The Hershey Company&rsquo;s Technical Center, the Senior Research Scientist position provides project leadership on multiple medium complexity initiatives and/or beginning to lead a higher complexity initiative with support. Complexity of a workstream can be increased through technical complexity, manufacturing complexity, speed to market, quantity of projects and cross-functional support. For the Sensory professional, complexity is driven by the learning plan and types of applied research methods. Examples of complex studies include Drivers of Liking, consumer-based specifications, large DOE studies, a combination of multiple methods or multiple waves of research. A successful candidate is adept at demonstrating and applying technical knowledge and expertise (sensory &amp; consumer research, statistics and data visualization). Ability to develop and share technical expertise within functional area and cross functionally within the organization, strong problem-solving skills &amp; the ability to think critically is important to this role. The successful candidate is proficient at communicating complex or technical subject matter written and verbally to different audiences at different levels within the organization. Ability to influence internal customers and key stakeholders and leveraging networks to provide solutions are necessary skills. 

<div>
Specific Role Focus Area: 
<ul><li>Serve as the sensory liaison to assigned brands.</li><li>Work independently and collaboratively to design, collect, analyze, interpret, and report sensory and consumer data, delivering actionable recommendations to cross functional teams and stakeholders.</li><li>Leverage knowledge of consumer and analytical sensory methods to lead research primarily for innovation but will also lead projects on product improvements and margin enhancements to existing products.</li><li>Apply analytical sensory methods strategically to complement consumer testing and ensure project objectives are met.</li><li>Contribute to the development and implementation of new/improved sensory and consumer research capabilities to further expand the department toolbox of methods.</li></ul></div> 

<div>
This role will interact and partner with: 
<ul><li>Product Development</li><li>Commercial and Innovation Marketing</li><li>Consumer Insights</li><li>Quality and Regulatory Compliance</li><li>Technology Development</li><li>External Research Suppliers</li></ul></div> 


Up to 10% travel required, primarily within the US.<div> 

Summary of major duties: 
Business Support 
<ul><li>Serve as a liaison to assigned brand teams and R&amp;D partners.</li><li>The role entails participating in recurring project meetings and working with cross-functional team members to define project objectives, identify appropriate types of sensory and/or consumer research needed, and designing test protocols (includes consumer, discrimination, and descriptive testing).</li><li>Serve as a technical thought partner to cross functional teams, helping shape learning agendas and research strategies</li><li>Planning, execution, analysis, and interpretation of sensory/consumer tests, including working with external vendors; communication of results both verbally and in report/presentation format leading to sound recommendations and business decisions.</li></ul>
Capability Building 
<ul><li>Assessment and implementation of new sensory and consumer research methods to drive capabilities, efficiencies, and performance.</li><li>Interface with suppliers and industry professionals to recommend new research approaches and tools.</li><li>Recurring Sensory team meetings to gain and maintain alignment on methods and best practices, administrative meetings, etc.</li></ul></div> 

<div>
Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities: 
<ul><li>Proven track record of applying sensory and consumer testing methods to support the successful launch of new products and/or product improvements to existing products.</li><li>Strong knowledge and application of quantitative and qualitative consumer test methods to drive new product development and continuous improvement efforts (e.g., CLTs, HUTs, focus groups, ethnography, online surveys).</li><li>Applied experience with sensory analytical methods, including descriptive and discrimination testing.</li><li>Expertise in leading research projects, including research design, advanced statistical analysis, and reporting of complex studies to generate insights and inform business direction. Experience includes statistical modeling of sensory and consumer data, Design of Experiments (DOE), product and process optimization, category assessments, and Drivers of Liking (DOL).</li><li>Experience with statistical analysis and programming software (e.g., JMP, R, SPSS, SAS, Minitab, or similar) and advanced statistical techniques.</li><li>Proficiency in the use of sensory data collection systems, including EyeQuestion (preferred), Compusense, or RedJade.</li><li>Demonstrates curiosity and adaptability in applying emerging technologies&mdash;such as AI assisted data analytics, text generation, and predictive modeling&mdash;to improve the efficiency, quality, and scalability of sensory science projects.</li><li>Ability to collaborate effectively across and within functions that represent diverse viewpoints.</li><li>Leadership skills and behaviors, including business acumen, conflict management, and excellent organizational, communication, and interpersonal skills.</li><li>Advanced proficiency in Microsoft 365, including Word, Excel, PowerPoint, and Outlook; familiarity with Microsoft Copilot or similar AI enabled productivity tools is a plus.</li><li>Ability to manage multiple priorities and work independently with minimal supervision.</li></ul></div> 


Minimum Education and Experience Requirements: 
Education and Experience: MS in Food Science, Psychology, Statistics, or a related field with an emphasis in Sensory and Consumer Research and 2&ndash;4 years of relevant experience; or BS with 4&ndash;6 years of relevant experience. 
A degree or certification in Market Research is a plus. 


#LI-AM1 


The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws. 
 
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans.

You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability. 
You can request an accommodation via phone or email.

To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include &ldquo;Accommodation Needed&rdquo; in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.</div>

Senior Research Scientist Sensory Innovation

Elanco

Education : EQUIVALENTEXPERIENCE
 
<div>At Elanco (NYSE: ELAN) &ndash; it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose &ndash; all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you&rsquo;ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals&rsquo; lives better makes life better &ndash; join our team today!
Senior Scientist (R2)- Target Validation and Early Project Lead
As a Senior Scientist in the Mechanistic Biology team, you will lead novel target identification and validation across multiple animal diseases to build the drug discovery pipeline. This is a non-lab role focused on guiding cross-functional teams through early-stage drug discovery by leveraging advanced in vitro techniques, functional genomics, and AI/ML data analysis.
Your Responsibilities:<ul><li>
Lead the identification and prioritization of novel targets using in-vitro/vivo experiments, literature reviews, biological assays, bioinformatics, functional genomics, AI/ML and novel approaches.</li><li>
Guide cross-functional teams through the first stage of drug discovery, from initial concept to target validation.</li><li>
Develop strategies to de-risk targets and enhance commercial viability by integrating Chemistry, Manufacturing, and Controls (CMC) considerations.</li><li>
Manage external CRO partnerships and foster strategic collaborations across research teams, including, technical development, preclinical development, discovery, medicinal chemistry and computational biology.</li><li>
Develop and integrate biomarker strategies and translational in vitro disease models to accelerate early-stage discovery.</li><li>
Lead the building of new indications areas identified as important in animal health.</li><li>
Assess on-target, off-target, and safety risks of pipeline assets, while providing expert physiological support on disease and drug effects.</li><li>
Develop and integrate biomarker strategies (biological, AI-enabled, imaging) from early validation through registrational studies.</li><li>
Continuously enhance expertise in study design/model development.</li><li>
Ensure compliance with regulatory standards (e.g., GLP/GxP), accurate budget tracking, scientific integrity, and animal welfare principles.</li></ul>
What You Need to Succeed (minimum qualifications):<ul><li>
Education: Ph.D. in Cell/Molecular Biology or a related field with several years of postdoctoral training.</li><li>
Experience: Professional experience in industry research and early-stage biotech/drug discovery, including CRO management.</li><li>
Top 2 skills: Expert in target identification and validation (including approaches such as cell line development, biological assay development, for both small and large molecule drugs, etc). Expertise in New Approach Methodologies (NAMs) such as organoids/iPSCs with proficiency in using AI/ML for target identification and validation.</li></ul>
What will give you a competitive edge (preferred qualifications):<ul><li>
DVM with aforementioned Ph.D and training.</li><li>
3 years of experience in a pharmaceutical company.</li><li>
Demonstrated success identifying novel targets and a proven publication record.</li><li>
Demonstrated ability to lead projects.</li><li>
Working knowledge of applicable statistical principles and data analysis techniques.</li><li>
Experience with compound library screening and biomolecular training (RNA-seq, omics, flow cytometry).</li><li>
Ability to collaborate and influence cross functionally. Ability to work in a fast paced, agile environment.</li><li>
Experience in animal health industry.</li></ul>
Additional Information:
Travel: up to 25 %
Location: Indianapolis, IN , Hybrid Environment
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.</div>

Senior Research Scientist- Target Validation and Early Project Lead

Flagship Pioneering, Inc.

<div>What if&hellip;

We could harness the power of Flagship's breakthrough scientific platforms to create entirely new therapeutic modalities &mdash; and deliver transformative medicines to patients faster?

Pioneering Medicines, a division of Flagship Pioneering, is building a premier biopharmaceutical R&amp;D organization dedicated to conceiving and advancing life-changing therapies. By integrating and applying Flagship's innovative platform technologies to serious diseases with high unmet need, we aim to redefine how medicines are discovered and developed. A defining strength of our approach is the ability to combine multiple platforms to generate truly novel and potentially transformative treatments.

About Flagship Pioneering

Flagship Pioneering is a life sciences innovation company that conceives, creates, resources, and develops first-in-category scientific ventures to transform human health and sustainability. Since its founding in 2000, Flagship has originated and fostered more than 100 scientific ventures, generating tens of billions in aggregate value and advancing breakthroughs across biotechnology and sustainability. Flagship's unique hypothesis-driven innovation model has enabled the creation and growth of an ecosystem of 40+ companies &mdash; including high-impact ventures such as Moderna, Tessera Therapeutics, Generate:Biomedicines, Sana Biotechnology, Indigo Agriculture, and Inari &mdash; that span cutting-edge platform technologies and therapeutic modalities

Position Summary:

We are seeking a Compound Manager at Senior Scientist/ Principal Scientist level to join our rapidly evolving Sample Operations and Automation function. This individual will collaborate with operational and scientific teams to manage the registration, storage, and distribution of small molecules, peptides, biologics and additional modalities, while leading the automation of liquid handling, serial dilutions, and assay plate dispensing workflows at Pioneering Medicines. In addition, the individual will collaborate with Information Technology to streamline data collection, analysis, and storage workflows.

The successful candidate will combine deep operational expertise with a hands-on approach to automation and process development, ensuring high-quality, reproducible data from early discovery programs across multiple therapeutic areas and modalities.

Key Responsibilities:

Compound and Sample Management
<ul>
<li>Oversee end-to-end compound management workflows through collaboration with the lab operations team, including receipt, registration, storage, tracking, and distribution of small molecules, peptides, biologics, nucleic acids, and other modalities across Pioneering Medicines' research programs.</li>
<li>Maintain sample integrity and traceability through robust documentation, inventory systems and adherence to SOPs.</li>
<li>Manage compound collections in proper storage systems (ambient, refrigerated, cryogenic), and ensure environmental compliance and monitoring, in collaboration with the laboratory operations group.</li>
</ul>
Automation and Workflow Execution
<ul>
<li>Partner with team members to operate, program, and maintain automated liquid handling systems (e.g., Agilent Bravo, Dispendix I.DOT) for high-throughput sample preparation.</li>
<li>Develop, validate, and optimize serial dilution, reformatting, and assay plate dispensing methods to enable high throughput assays and profiling campaigns.</li>
<li>Implement automation scheduling software (e.g., VWorks) to coordinate workflows and maximize throughput.</li>
<li>Drive continuous improvements in automation reliability and process standardization.</li>
</ul>
Data and Informatics Integration
<ul>
<li>Interface with informatics platforms (e.g., CDD Vault, Benchling, and compound databases) to ensure accurate data capture and seamless sample tracking.</li>
<li>Collaborate with data science teams to link sample metadata with experimental results for analytical and decision-support workflows.</li>
<li>Generate and maintain inventory, utilization, and QC reports across multiple program portfolios.</li>
</ul>
Qualifications:

Required:
<ul>
<li>Bachelor's or Master's degree in Chemistry, Biochemistry, Chemical Engineering, or related discipline with 12+ years of experience.</li>
<li>Strong experience in compound management within pharma, biotech, or high-throughput discovery environments.</li>
<li>Demonstrated proficiency with liquid handling platforms and compound inventory management systems.</li>
<li>Deep understanding storage considerations for diverse modalities (e.g., small molecules, peptides, biologics).</li>
<li>Proven ability to troubleshoot, optimize, and document automated workflows.</li>
<li>Strong organizational and communication skills, with the ability to manage multiple priorities in a dynamic environment.</li>
</ul>
Preferred:
<ul>
<li>Experience in multi-modal sample management (e.g., nucleic acids, conjugates).</li>
<li>Prior exposure to early-stage R&amp;D or platform company operations.</li>
</ul>
Core Competencies:
<ul>
<li>Operational excellence and meticulous attention to detail</li>
<li>Strong technical troubleshooting and analytical mindset</li>
<li>Collaborative and adaptable in a fast-evolving environment</li>
<li>Commitment to innovation, data integrity, and process improvement</li>
<li>Excellent written and interpersonal communication</li></ul> 


Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 


Recruitment &amp; Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, &quot;FSP&quot;) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

#LI-TD1<div>
The salary range for this role is $126,000 - $214,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Pioneering Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Medicines's good faith estimate as of the date of publication and may be modified in the future.</div></div>

Pioneering Medicines: Senior / Principal Scientist, Compound Management

Deloitte

<div>As a functional SME embedded with our Lab of the Future product team, you will play a pivotal role in defining and refining new lab informatics product capabilities by bringing first-hand industry experience from working in, or directly supporting, pharma/biotech R&amp;D laboratory environments. The ideal candidate brings strong knowledge of laboratory workflows, experience with LIMS (Laboratory Information Management System) / ELN (Electronic Lab Notebook), and a deep understanding of lab instruments, data modalities, and research processes across pharma R&amp;D domains to guide feature build. 
 
Recruiting for this role ends on 06/12/2026. 
 
Work You'll Do: 
 
Functional SME Supporting Product Development:
 
<ul><li>Act as the functional SME, bringing real-world knowledge from pharma R&amp;D lab environments and end-to-end lab workflows (across multiple R&amp;D domains) to define product requirements; partner with Product Management to translate those requirements into user stories, acceptance criteria, and key edge cases.</li><li>
Provide cross-domain perspective across pharma R&amp;D (discovery through development; adjacent handoffs as relevant), ensuring features support common workflows rather than narrow, single-technique needs.
</li><li>Recommend workflow improvements for efficiency, quality, and compliance, and translate them into product features and configuration options
</li><li>Define expected data outputs and end-to-end flows (sources, formats, and metadata expectations) to inform ingestion, standardization, traceability, and downstream use cases.
</li><li>Leverage expertise in lab data types (e.g., assay data, imaging data, multi-omics data) to inform product data models, integration patterns, and functional capabilities.
</li><li>Provide functional leadership and best practices for managing lab data across diverse instruments and platforms (including practical realities like missing metadata, versioning, reprocessing, and auditability)
</li><li>Partner day-to-day with Product Management, Engineering, UX, and QA to clarify intent, review designs, validate workflow fit, and support release readiness.</li><li>
Create, curate, or source open datasets (and/or realistic synthetic datasets where needed) that represent common lab outputs for functional testing, demos, and regression coverage.
</li><li>Define test scenarios that reflect real lab behavior (repeats, controls, reruns, calibration drift, batch effects, exceptions) and ensure the product handles them reliably.
</li><li>Contribute to ongoing product research and development efforts by tracking emerging trends in lab informatics, data science, and digital transformation that affect product direction</li><li>
Knowledge of automation and AI/ML applications in lab informatics and/or experience with digital transformation initiatives focused on laboratory environments
</li><li>Act as a product owner, in context of product forward deployed engineer (pFDE) pod deployed on client engagements to make the engagement successful and remove any friction in adoption of product</li></ul> 

Sales Support:
 
<ul><li>Support client-facing activities during sales cycles, including participating in demos and drafting the demo storyline to highlight the product's strongest capabilities and value proposition</li><li>
Pursuit support, helping shape use-case framing, respond to workflow/technical questions, and address objections with credible lab-domain context
</li><li>Bring insights from your experience (and structured internal feedback loops with SMEs/users) back to the product team to inform and influence the product roadmap
</li></ul> 
Astrongsuccessful candidate willpossessthese skills:
 
<ul><li>Demonstrated ability to translate domain knowledge into crisp functional requirements and to collaborate effectively in a techno-functional product environment
</li><li>Quick learner, ability to pick the rapid AI prototyping tools (Cursor, Lovable, N8N, ElevenLabs) to convert ideas to demonstrable concepts</li></ul> 

The Team 
 
This role is aligned with our ConvergeHEALTH business, serving Deloitte's Life Sciences Sector by advancing research and development initiatives. ConvergeHEALTH is dedicated to creating digitally connected ecosystems through robust analytics platforms, immersive experiences, strategic industry partnerships, and premier consulting services, all with the unified vision of centering healthcare around patient needs. A key emphasis is on the Lab of the Future product, which aims to revolutionize laboratory environments by enhancing efficiency, collaboration, and innovation, thereby driving significant advancements in research and development. 
 
Qualifications 
 
Required
 
<ul><li>Bachelor's degree (Master's preferred) in computational biology, bioinformatics, life sciences, biomedical engineering, or a related field
</li><li>6+ years of experience working in or closely supporting biotech/pharma R&amp;D labs (lab operations, lab informatics, scientific data systems, or similar)</li><li>
3+ years of hands-on experience with LIMS and/or ELN platforms and how they fit into scientist workflows</li><li>
2+ years of experience working with laboratory workflows, instruments, and data modalities (e.g., flow cytometry, genomics, proteomics, imaging, or other analytical tools)</li><li>
Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li></ul> 

Preferred
 
<ul><li>2+ years of experience integrating lab instruments and data systems to streamline workflows and enable cross-platform data use
</li><li>1+ year of exposure to AWS or cloud-native concepts and modern data/analytics patterns
</li><li>1+ year of experience in regulated lab environments with familiarity of compliance expectations (e.g., GxP, 21 CFR Part 11), including audit trails, e-signatures, and validation-ready documentation
</li></ul> 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $64,400 to $155,400. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

ConvergeHEALTH - R&D Life Sciences, Product Owner - Innovation_Delivery_Transformation

Amazon.com

<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 8+ 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 vLLM, SGLang, TensorRT or similar platforms in production environments, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</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. 
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, NY, New York - 183,800.00 - 248,700.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Sponsored Products and Brands Off-Search

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's advertising business has grown exponentially over the past years, helping connect sellers and vendors to shoppers who may be interested in their products. Our ad products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products that leverage state of the art AI technologies. 
 
The Sponsored Products and Brands team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking on Amazon search pages. This role will be instrumental in revolutionizing how we match ads with customer intent and shopping behavior. 
 
Key job responsibilities 
<ul><li>Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale</li><li>Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior</li><li>Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements</li><li>Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems</li><li>Author research papers and technical documentation, contributing to the broader scientific community</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.</li><li>8+ years of experience applying ML to solve complex problems for large-scale applications.</li></ul> 
<h2 class="jobSectionHeader">PREFERRED QUALIFICATIONS</h2><ul><li>Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.</li><li>Demonstrated leadership abilities, especially with cross-disciplinary efforts.</li></ul>
- Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives. 
<ul><li>Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.</li><li>Deep business and technical vision.</li><li>Prior experience in online advertising or search ranking</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, NY, New York - 218,800.00 - 295,900.00 USD annually 
USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually</div>

Principal Applied Scientist, Sponsored Products and Brands

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