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applied scientist

applied scientist ii, sponsored products and brands - advertiser guidance Jobs in Seattle

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artificial intelligence researcher

applications scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>5+ years of building models for business application experience</li>
<li>PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience</li>
<li>Experience programming in Java, C++, Python or related language</li>
<li>Practical experience with LLM pre-training or post-training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs</li>
<li>Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI</li>
<li>Experience using Unix/Linux</li>
<li>Experience in professional software development</li>
<li>Experience working on SOTA LLMs.</li>
<li>Multiple first-author LLM-related publications in top-tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)</li>
</ul></div><div>Preferred qualifications:
</div><div><div><ul><li>5+ years of experience building and deploying machine learning models or developing algorithms for business applications.</li>
<li>A strong track record of publications at top-tier, peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ACL, KDD, CVPR).</li>
<li>Proven ability to transition research to production-grade, scalable systems.</li>
<li>Experience with Generative AI tools, Large Language Models (LLMs), Transformers, Reinforcement Learning, or advanced Computer Vision/NLP techniques.</li>
<li>Expertise in Python, Java, or C++, as well as experience with distributed machine learning frameworks (e.g., Spark, Hadoop</li>
</ul></div></div><div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$120,000-$150,000 a year
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>401448</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Applied scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
<br>
<br>
You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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.<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
The Campaign Strategies team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
<br>
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</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 models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</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 II, Sponsored Products and Brands - Advertiser Guidance

Data Scientist, Product Analytics

Apple

<p>Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful.<br>
<br>
<b>Description</b><br>
<br>
We are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.&quot;,&quot;responsibilities&quot;:&quot;Lead the design, creation, and validation of novel metrics for user engagement, retention, and growth.<br>
<br>
Drive the development and implementation of sophisticated data products (e.g., user segmentation models, churn propensity scores, growth forecasting tools).<br>
<br>
Proactively lead deep-dive analyses to uncover insights into user behavior and inform critical business decisions.<br>
<br>
Engage with and influence partners and executive leadership to shape product strategy and roadmap with compelling, data-driven recommendations.<br>
<br>
Architect solutions to highly ambiguous product goals and complex business problems, transforming them into well-defined and solvable data science challenges.<br>
<br>
Drive the development, adoption, and best practices for advanced tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to ensure efficiency and scalability.<br>
<br>
Mentor and guide junior data scientists, fostering their technical and analytical growth.<br>
<br>
Champion new ideas and analytical approaches, pushing the team towards innovative solutions and methodologies.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling.<br>
<br>
Extensive experience with large data sets using technologies like Hadoop and Spark.<br>
<br>
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale.<br>
<br>
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results.<br>
<br>
Experience mentoring junior team members and contributing to a data science community.<br>
<br>
Experience contributing to product strategy and roadmap definition.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain.<br>
<br>
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact.<br>
<br>
Expert proficiency in Python for data manipulation, analysis, and modeling.<br>
<br>
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation.<br>
<br>
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions.<br>
<br>
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference.<br>
<br>
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Scientist - Maps Eval

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products.</p><p></p><p><br>
This role is not eligible for OPT or sponsorship now or in the future.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director, Product Data Science.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention</p></li><li><p>
Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact</p></li><li><p>
Leverage data to develop actionable analytical insights and present findings to senior management</p></li><li><p>
Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models</p></li><li><p>
Design and build dashboards to provide actionable insights and key business metrics</p></li><li><p>
Design, build and test reliable data pipelines to extract and transform data</p></li><li><p>
Identify, design, and implement process improvements by automating manual processes for greater efficiency</p></li><li><p>
Collaborate with stakeholders across organizations to support their data needs</p></li><li><p>
Implement data quality checks to maintain the high quality of data</p></li><li><p>
Optimize and maintain the existing pipelines</p></li><li><p>
Document the work in confluence and Alation</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information Systems or other related engineering field</p></li><li><p>
Graduating in December 2025, May/June 2026</p></li><li><p>
English language proficiency: native or fluent</p></li><li><p>
Experience with SQL for data analysis and data validation.</p></li><li><p>
Experience with data visualization tools such as Tableau, Power BI, or similar</p></li><li><p>
Experience with statistics and rigorous analytical techniques</p></li><li><p>
Experience in extracting, transforming and loading data using any data platform</p></li><li><p>
Experience solving real business problems using data and analytics</p></li><li><p>
Experience in working with cross-functional teams</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Ability to present data in a visual format and explain the insights clearly and concisely</p></li><li><p>
Ability to delivery on multiple competing priorities</p></li><li><p>
Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies</p></li><li><p>
Experience designing and refining machine learning models</p></li><li><p>
Experience with Python or R</p></li><li><p>
Familiarity with data engineering processes.</p></li><li><p>
Highly motivated, organized, self-starter who thrives in a fast-paced environment</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area):
<p>$38/hour - $40/hour</p></div><p></p><div><p><b><br>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Product Data Science Intern

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.
<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
<br>
<br>
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!<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
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.<br>
<br>
About the team<br>
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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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 Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually<br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Off-Search, Sponsored Products and Brands

Trupanion

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are seeking an experienced research leader to build and lead a veterinary data research function that generates clinically grounded, decision-relevant insights from real-world veterinary medical data.
 <br/>
 <br/>
 This role is ideal for a
 <strong>
  veterinarian, academic researcher, or applied scientist
 </strong>
 who enjoys designing rigorous studies, mentoring researchers, and translating complex findings into practical impact.
 <br/>
 <br/>
 You will define the research agenda, oversee multi-quarter studies, and ensure scientific rigor, reproducibility, and clinical relevance. Your work will directly inform product design, claims policy, actuarial models, and long-term strategy. You will manage a team of analysts while partnering closely with practicing DVMs, and domain experts including our PR and Communications teams.
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 Examples of data you will work with include veterinary medical records, diagnostic and lab data, body-system classifications, treatment narratives, and claims outcomes.
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 <br/>
 This position is open to
 <strong>
  candidates in the Seattle area
 </strong>
 . You will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least
 <strong>
  3 days a week
 </strong>
 .
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 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 Research Leadership &amp; Study Design
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 <ul>
  <li>
   Define and own a veterinary research roadmap aligned with business and clinical questions (e.g., drivers of pet health costs, outcomes, and longitudinal care patterns).
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  <li>
   Ensure appropriate use of controls, assumptions, and statistical power; clearly articulate uncertainty and limitations.
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   <br/>
  </li>
 </ul>
 Scientific Quality &amp; Governance
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 <ul>
  <li>
   Establish standards for data quality, documentation, internal peer review, and research governance.
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  <li>
   Encourage robust research and data integrity through versioned datasets, transparent assumptions, and defensible methodologies.
  </li>
  <li>
   Champion responsible use of sensitive veterinary medical data, privacy-by-design and de-identification.
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   <br/>
  </li>
 </ul>
 Clinical &amp; Cross-Functional Collaboration
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 <ul>
  <li>
   Collaborate with veterinary clinicians (DVMs) to review and interpret medical records, diagnostics, and treatment plans; ensure clinical validity in definitions and labels.
  </li>
  <li>
   Guide the discovery process alongside Actuarial, Claims, Product, and Growth teams transforming business questions into testable hypotheses and measurable outcomes.
  </li>
  <li>
   Serve as a trusted thought partner on the intersection of veterinary medicine, economics, and data.
   <br/>
   <br/>
  </li>
 </ul>
 Communication &amp; Translation
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 <ul>
  <li>
   Summarize findings into concise executive-level reports that support informed decision-making.
  </li>
  <li>
   Communicate complex information in simple language for a wide range of stakeholders.
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   <br/>
  </li>
 </ul>
 People &amp; Team Leadership
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 <ul>
  <li>
   Lead, mentor, and develop a team of analysts.
  </li>
  <li>
   Establish clear expectations regarding research rigor, and clinical context.
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  <li>
   Foster a culture of curiosity, and continuous improvement.
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   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   5-8+ years of experience in applied research, analytics, or quantitative analysis, with 2+ years leading research programs or teams.
  </li>
  <li>
   Demonstrated strength in research design, statistical inference, and causal reasoning; able to select methods based on the question, not the trend.
  </li>
  <li>
   Experience working with medical or clinical data, including unstructured records and ambiguous or evolving taxonomies.
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  <li>
   Proven ability to lead long-horizon research efforts that influence policy, product, pricing, and operations.
  </li>
  <li>
   Comfortable guiding technical execution without needing to personally optimize models day-to-day.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Background &amp; Skills
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  <br/>
 </strong>
 <ul>
  <li>
   Background in veterinary medicine, biomedical research, epidemiology, health economics, or related fields.
  </li>
  <li>
   Familiarity with veterinary clinical workflows, terminology, and diagnostic reasoning.
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  <li>
   Experience translating messy, real-world medical data into analytically usable constructs.
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  <li>
   Strong written and verbal communication skills; able to tell a coherent story from complex evidence.
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  <li>
   Exposure to applied modeling approaches used for inference and interpretation with an emphasis on understandable results over novelty.
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   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The base pay range for this position is $120,000 - $140,000, on a full-time schedule.
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  <li>
   Along with base salary, Trupanion employees may be eligible for monthly bonuses.
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  <li>
   We want all employees to be invested in Trupanion&rsquo;s success, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years.
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   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
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 </strong>
 <strong>
  Benefits and Perks:
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  <br/>
 </strong>
 <ul>
  <li>
   Full medical, dental, and vision benefits at no cost to the employee
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  <li>
   Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
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  <li>
   Five-week sabbatical after five years of employment
  </li>
  <li>
   Open, casual, pet-friendly, and fun office environment
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  <li>
   Free medical health insurance for your pet (1 dog or cat)
  </li>
  <li>
   Paid time off to volunteer at nonprofit organizations
  </li>
  <li>
   Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.
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   <br/>
  </li>
 </ul>
 For more information about Trupanion, visit https://trupanion.com/about
 <br/>
 <br/>
 Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ
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 Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.
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 We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.
</div>


Senior Manager, Veterinary Research

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