Applied Scientist II, Payment Risk Machine Learning

ID: 5846

Type: Full-time

Category: Others

Company Name: ADCI HYD 20 SEZ - H94

Location: IND, TS, Hyderabad

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Job Description

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com.

The BRP organization is looking for an Applied Scientist for its Payment Risk Mining ML team, whose mission is to combine advanced machine learning techniques to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon.

As an Applied Scientist in Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through state-of-the-art techniques including statistical models, deep learning, large language models (LLMs), and agentic AI systems. You will explore and implement state of the art approaches such as graph neural networks, anomaly detection, GenAI-powered investigation agents, and multi-agent systems to automate fraud detection and prevention at scale. You will build and deploy production-ready models and automated systems to improve operational efficiency and reduce bad debt.

You will collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions. The ideal candidate should be able to apply a breadth of tools, and advanced ML techniques, from traditional machine learning to emerging agentic frameworks, to take ideas from experimentation to production, driving tangible improvements in fraud detection and prevention.

The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business.

Key job responsibilities
Own end-to-end development of machine learning models for large-scale risk management systems

Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends

Design, develop, validate, and deploy innovative models to production environments

Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency

Collaborate closely with software engineering teams to implement scalable, real-time model solutions

Partner with operations and business stakeholders to translate risk insights into measurable impact

Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring

Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders
Research and implement novel machine learning and statistical methodologies

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

- Experience in professional software development

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’re applying in isn’t listed, please contact your Recruiting Partner.

Company Information

Company Name: ADCI HYD 20 SEZ - H94

Company Website: https://www.amdocs.com

Company Address: Financial District, Nanakramguda Gachibowli, Hyderabad Telangana 500032 India

Amdocs is a multinational technology company that designs, develops, and delivers software and services for communications, media and digital service providers. Founded in the 1980s, the company provides a broad portfolio of products and managed services that support core business operations for service providers, including customer experience systems, operational support systems (OSS), business support systems (BSS), billing and revenue management, digital commerce, and network and cloud transformation solutions. Amdocs combines product engineering, systems integration, and managed services to help customers monetize services, automate operations, and deliver personalized digital experiences at scale. Company overview Amdocs operates as both a software vendor and a services organization focused primarily on enabling communications and media companies to modernize legacy systems and deploy new digital services. The company’s offerings are built to support business functions such as customer lifecycle management, order orchestration, billing and charging, policy and subscription management, partner and content monetization, and customer care. In recent years Amdocs has extended its portfolio to include cloud-native platforms, virtualization and cloud-native network functions (CNFs), 5G enablement, and digital transformation consulting to support service providers transitioning to cloud-first and software-defined network architectures. Core business activities Amdocs’ core activities include product development, systems integration, consulting, and end-to-end managed services. The product development teams create and maintain software suites for BSS/OSS, digital commerce, and media monetization; these suites address functions such as convergent charging, invoicing, mediation, customer relationship management (CRM), and digital self-service capabilities. Systems integration and professional services help customers implement and integrate those software solutions with existing infrastructure and third-party platforms. Managed services include outsourcing of operational processes and platform hosting, as well as ongoing application and infrastructure management designed to improve operational efficiency and reduce the total cost of ownership for customers. Main products and services Amdocs’ product and service portfolio is structured around enabling customer experience and network transformation, and typically includes the following categories: - BSS/OSS and Billing: Convergent billing and charging platforms, revenue management, invoicing, mediation, rating, and revenue assurance solutions that support complex, high-volume telecom billing needs. - Customer Experience and Digital Commerce: CRM and customer engagement platforms, digital commerce engines, self-service portals, personalization and analytics, order management and orchestration systems used to deliver unified digital customer experiences across channels. - Network Transformation and Cloud Solutions: Offerings for network virtualization, cloud-native deployments, automation and orchestration, 5G service enablement, and integration with cloud infrastructure and hyperscalers to accelerate service provider network modernization. - Media and Content Monetization: Platforms and services for content providers and media companies to manage subscriptions, advertising, content delivery monetization, and partner ecosystems. - Professional Services and Managed Services: Consulting, systems integration, application management, managed operations, and managed hosting services covering business transformation, application modernization, and long-term operational support. - Analytics, AI and Personalization: Data analytics, machine learning and AI-driven tools that support churn prediction, customer segmentation, dynamic offers, and real-time personalization to drive revenue and improve customer experience. Global footprint and delivery model Amdocs operates globally with a combination of product development centers, delivery and support centers, and sales offices across multiple regions, including the Americas, Europe, the Middle East, and the Asia-Pacific region. The company typically serves large communications service providers (CSPs), cable operators, content and media organizations, and enterprises undergoing digital transformation. Amdocs’ delivery model combines on-premises solutions, hosted and managed services, and public-cloud deployments, enabling customers to choose a deployment and operational model that matches their strategy and regulatory requirements. Technology focus and partnerships As part of its technology strategy, Amdocs emphasizes cloud-native design, open APIs, microservices architectures, and partnerships with major cloud providers, network equipment vendors, and an ecosystem of software partners. The company invests in R&D for areas such as 5G services, edge computing, digital commerce, and AI-driven automation. Strategic partnerships with hyperscalers and network vendors are commonly used to provide integrated solutions that help customers accelerate time-to-market for new services. Customer segments and value proposition Amdocs’ primary customers are communications service providers (mobile and fixed), cable and satellite operators, media and content companies, and enterprises that require complex billing and customer management systems. The company positions itself as a partner for large-scale transformation programs—helping customers replace aging legacy platforms, launch new digital services, monetize content and partnerships, and improve operational agility. Amdocs emphasizes reducing operational complexity, accelerating service delivery, and enabling personalized customer experiences as key value drivers for its clients. Business evolution and market position Over decades of operation, Amdocs has grown through a combination of organic product development and acquisitions to broaden its software and services capabilities. The company’s market position draws on deep domain expertise in telecom and media industries, high-volume transaction processing capabilities, and a global services organization capable of delivering large transformation and managed services contracts. Amdocs continues to evolve its offerings to align with cloud-native architectures, network virtualization, and digital commerce trends that are reshaping how service providers operate and monetize new services.

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