Data Scientist, Traffic Quality

Amazon; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Amazon Ads in Bengaluru is seeking a data scientist/researcher to define novel fraud detection problems and apply advanced ML methods to detect sophisticated invalid traffic across ad ecosystems. You will analyze massive datasets, generate business insights, and craft research reports that meet high publication standards.

The role also involves mentoring junior scientists and collaborating across teams to advance traffic quality standards and transparency within Amazon Ads.

Qualifications

• 1+ years of experience with data querying languages (SQL) or scripting (Python).
• 2+ years as data/research scientist, statistician, or quantitative analyst in an internet-based company with big data.
• 1+ years creating or contributing to mathematical textbooks, papers, or educational content.
• Master's degree in STEM or equivalent experience.

Responsibilities

• Define and frame new research problems in fraud detection.
• Apply ML approaches to detect sophisticated invalid traffic.
• Perform broad data analysis to derive business insights.
• Work with massive unstructured datasets to deliver results.
• Produce research reports meeting top-tier publication standards.
• Mentor and develop junior scientists on the team.

Skills

SQL

Python

Research skills

Education

Master's degree in STEM

Ph.D. in STEM

Job description

Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces.

Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience.

Key job responsibilities

• Define and frame new research problems in fraud detection where neither problem nor solution is well-defined.
• Apply new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
• Apply domain knowledge to perform broad data analysis as a precursor to modeling and build business insights.
• Work with unstructured and massive datasets to deliver results.
• Produce research reports meeting top-tier external publication standards.
• Mentor and develop junior scientists on the team.

About the team

1. 1/ [Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD 2023.](https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf)
2. 2/ [SLIDR: Real-time Robot Detection On Online Ads, IAAI 2023, Deployed Highly Innovative Applications of AI Track (AAAI 2023)](https://assets.amazon.science/75/2f/3b7106b143f38f7f4d2806388ace/real-time-detection-of-robotic-traffic-in-online-advertising.pdf)
3. 3/ [Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers, NeurIPS 2022, First Table Representation Learning Workshop](https://openreview.net/forum?id=wIIJlmr1Dsk)

Basic Qualifications

• 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.