We are seeking a passionate and strategic Principal Applied Scientist to create machine learning solutions and models for providing better value to Amazons customers. This team offers a unique opportunity to make a significant impact on the customer payment experience and contribute to the design architecture and implementation of novel products. You are a handson scientific leader. Your solutions are exemplary in terms of algorithm design clarity model structure efficiency and extensibility. You tackle intrinsically hard problems acquiring expertise as needed. You decompose complex problems into straightforward solutions.
In this role you will be responsible for building AI/ ML strategies partner closely with a team of scientists and software developers and develop novel algorithms and modeling techniques.
Key job responsibilities
* Invent implement and deploy novel machine learning algorithms and systems.
* Spearhead the design development and deployment of advanced analytics models machine learning algorithms and predictive modeling frameworks to derive actionable insights from large and diverse data sets.
* Collaborate crossfunctionally with stakeholders from business engineering and subject matter experts to define project requirements prioritize initiatives and ensure alignment with organizational goals.
* Define key research directions conduct rigorous experiments publish results and ensure that research is translated into practice.
* Mentor and guide a team of data/applied scientists fostering a culture of continuous learning innovation and knowledge sharing.
* Serve as a subject matter expert providing technical guidance and thought leadership on the application of data science principles to address complex business problems and drive strategic decisionmaking.
* Serve as science advisor for payments leadership team and a collaborative partner within the tech principal community within Amazon Payments
* MS in Mathematics Statistics Machine Learning or a related quantitative field
* 10 years of CS CE ML or related field experience
* 8 years of building models for business application experience
* Experience in patents or publications at toptier peerreviewed conferences or journals
* Experience in genAI and LLMs applications
* Experience in software development skills
* Excellent skills in problem solving programming and computer science fundamentals.
* Excellent communication skills.
* PhD in Mathematics Statistics Machine Learning or a related quantitative field
* Ability to communicate effectively across multiple organizations in the company.
* Experience with use of Amazon Web Services and cloud computing technologies
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