Remote Principal Applied Scientist – Amazon Advertising (Sponsored Products) – Advanced Machine Learning, Optimization & Marketplace Strategy Leader

```html Why Amazon Advertising? Amazon is more than the world’s largest e‑commerce platform—it is a dynamic ecosystem where shoppers, sellers, and advertisers converge. Our advertising division fuels the entire Amazon experience, delivering personalized, highly relevant product recommendations to millions of users each day. As the Marketplace continues to expand globally, the impact of Amazon Ads grows exponentially, creating unparalleled opportunities for data‑driven innovators to shape the future of commerce. If you thrive on solving complex problems at massive scale, influencing product direction, and collaborating with top‑tier engineers and product leaders, you will find a home here. About the Sponsored Products (SP) Business Sponsored Products represents Amazon’s flagship ad offering and the fastest‑growing revenue engine in the advertising portfolio. Over the past few years, this business has evolved from a modest initiative into a multi‑billion‑dollar operation, positioning ads directly on search results and product detail pages. By seamlessly weaving advertising content with organic listings, Sponsored Products drives higher visibility, conversion, and ultimately, customer satisfaction. The team that owns the Sponsored Products Detail Page Experience and Marketplace Intelligence is tasked with designing the algorithms that decide where, when, and how ads appear alongside organic products—an area of profound strategic importance for Amazon’s long‑term growth. Role Overview: Principal Applied Scientist As a Remote Principal Applied Scientist on the Sponsored Products team, you will be the scientific visionary guiding the development of next‑generation models that optimize ad allocation, ranking, pricing, and page‑level integration. You will define the technical roadmap, partner with senior product managers, and mentor a cross‑functional group of data scientists, research engineers, and software engineers. Your work will directly influence millions of shoppers and advertisers, generating measurable business impact while pushing the envelope of what is possible in large‑scale machine learning. Key Responsibilities Strategic Leadership: Craft and own the scientific roadmap for Sponsored Products detail‑page optimization, aligning it with broader business objectives and product vision. Cross‑Functional Alignment: Serve as the bridge between science, engineering, product, and business teams, ensuring seamless integration of research outcomes into production systems. Model Development & Deployment: Design, prototype, and launch state‑of‑the‑art machine learning models—including combinatorial optimization, deep learning, reinforcement learning, and advanced recommendation algorithms—that drive ad ranking, pricing, and allocation decisions. Experimental Design & A/B Testing: Lead rigorous experimentation frameworks to evaluate model performance, iterate quickly, and quantify impact on key metrics such as click‑through rate (CTR), conversion rate, advertiser ROI, and shopper satisfaction. Mentorship & Talent Development: Coach senior and junior scientists, fostering a culture of curiosity, technical excellence, and continuous learning within the team. Thought Leadership: Publish internal research, present findings to senior leadership, and contribute to external conferences or journals to position Amazon as a leader in advertising science. Scalable Infrastructure: Partner with platform engineering to ensure models are production‑ready, scalable to Amazon’s massive traffic volumes, and maintain low latency requirements. Business Impact Analysis: Translate technical advancements into clear business outcomes, articulating ROI and strategic benefits to stakeholders. Essential Qualifications Minimum of ten (10) years of hands‑on experience designing, building, and deploying large‑scale machine learning or operations research solutions in marketplace, pricing, or recommendation domains. Ph.D. in Computer Science, Electrical Engineering, Operations Research, Statistics, or a related quantitative discipline; alternatively, a Master's degree combined with ten (10)+ years of relevant industry experience. Deep expertise in at least two of the following areas: combinatorial optimization, deep neural networks, reinforcement learning, or large‑scale search/recommendation systems. Demonstrated ability to lead end‑to‑end scientific projects, from hypothesis generation and data exploration to model productionization and performance monitoring. Strong business acumen with an ability to translate technical concepts into actionable product strategies that drive revenue growth. Proven track record of publishing influential research (internal or external) and presenting technical work to senior leadership. Exceptional communication skills, both written and verbal, enabling you to convey complex ideas to diverse audiences. Preferred Qualifications Experience specifically within advertising technology, bid‑optimization, or ad‑ranking pipelines. Hands‑on experience with large‑scale data processing frameworks such as Apache Spark, Flink, or Hadoop. Proficiency in programming languages commonly used for scientific computing, including Python, Java, C++, or Scala. Familiarity with cloud‑native services, especially AWS offerings like SageMaker, Lambda, and EMR. Exposure to A/B testing platforms and statistical analysis tools for measuring lift and significance. Leadership experience managing multi‑disciplinary teams across geographic regions. Core Skills & Competencies Analytical Rigor: Ability to work with massive datasets, conduct deep statistical analyses, and extract actionable insights. Algorithmic Innovation: Creativity in designing novel algorithms that outperform existing industry benchmarks. Product Mindset: Understanding of product lifecycles, user experience considerations, and revenue drivers in the ad tech space. Collaboration: Comfortable partnering with engineers, product managers, designers, and business stakeholders to deliver integrated solutions. Adaptability: Thrives in a fast‑paced, ambiguous environment where priorities shift rapidly. Mentorship: Passion for developing junior talent, fostering an inclusive learning environment. Career Growth & Learning Opportunities Amazon’s culture of “Day 1” thinking ensures that no matter how senior you become, you are constantly challenged to think anew. As a Principal Applied Scientist, you will be positioned at the nexus of research and product scale, giving you the visibility to influence company‑wide strategies. Opportunities include: Leading larger, cross‑functional programs that span multiple advertising products. Participating in Amazon’s internal research conferences, hackathons, and external academic events. Access to a global network of top‑tier talent, enabling mentorship, peer reviews, and knowledge exchange. Potential pathways to senior technical leadership roles such as Senior Principal Scientist or Distinguished Engineer. Work Environment & Company Culture Amazon champions a diverse and inclusive workplace where every individual’s perspective contributes to innovative outcomes. Our remote‑first policy empowers you to work from anywhere in the United States, while still providing the collaborative tools and virtual community that keep teams linked. Key cultural tenets include: Customer Obsession: Every decision starts with the shopper or advertiser in mind. Bias for Action: Rapid experimentation and iteration are encouraged to seize market opportunities. Invent and Simplify: Complex challenges are tackled with elegant, scalable solutions. Earn Trust: Transparency, integrity, and respectful communication form the backbone of our interactions. Learn and Be Curious: Ongoing education, training programs, and tuition assistance fuel continuous growth. Compensation, Perks & Benefits Amazon offers a total compensation package that reflects market competitiveness and the high impact of the role. While exact figures vary by geographic location, the typical range for this position includes: Base salary ranging from $179,000 to $309,400 annually, dependent on location, experience, and performance. Sign‑on bonuses and performance‑based incentives tied to individual and company goals. Equity awards that align your success with Amazon’s long‑term growth. Comprehensive health benefits covering medical, dental, and vision plans. Retirement savings options, including a 401(k) match program. Generous paid time off, parental leave, and flexible work schedules. Access to employee assistance programs, wellness resources, and continuous learning platforms. Discounts on Amazon services, devices, and a variety of partner programs. Commitment to Diversity, Equity & Inclusion Amazon is dedicated to building a workplace where all employees feel respected, valued, and empowered to bring their full selves to work. We actively seek diverse talent and provide accommodations for candidates with disabilities throughout the recruitment process. Our inclusive policies ensure every voice is heard and every perspective considered in shaping our products and culture. Application Process Ready to drive the future of advertising at a global scale? Follow these steps to apply: Prepare an up‑to‑date résumé highlighting relevant experience in machine learning, optimization, and product impact. Craft a concise cover letter that illustrates how your expertise aligns with the responsibilities and vision outlined above. Submit your application through Amazon’s internal or external career portal. If you have any accessibility needs, please visit the Amazon disability accommodations page for assistance. After submission, you will receive a confirmation email. Our recruiting team will review your credentials and, if there’s a strong fit, schedule a series of technical and leadership interviews. Closing Call to Action Even if you do not meet every single requirement, we encourage you to apply. Amazon thrives on curiosity, ambition, and a passion for solving hard problems—qualities you may already embody. Join a team where your ideas will shape the advertising experience for millions, and where your career can ascend to new heights. Take the next step today—apply now and become a catalyst for innovation at Amazon Advertising! ``` Apply for this job