Amazon

Principal Applied Scientist, Amazon Payment Products

Posted On

April 1, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

April 22, 2025

Job Description

We are seeking a passionate and strategic Principal Applied Scientist to create machine learning solutions and models for providing better value to Amazon's 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 hands-on 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 cross-functionally 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 decision-making.
* 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 top-tier peer-reviewed 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.

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