Data Scientist, Traffic Quality

Technology, Data & Digital · Data, AI & Analytics · Data Science

In short

Als Data Scientist II bei Traffic Quality bei Amazon Ads arbeiten Sie an Systemen, die Milliarden von Anzeigenimpressionen und Klicks pro Tag verarbeiten, um ausgeklügelte ungültige Daten zu erkennen. Sie wenden fortschrittliche statistische Techniken und maschinelles Lernen an, um Betrug zu bekämpfen und Forschungsergebnisse zu veröffentlichen. Diese Rolle beinhaltet die Definition neuer Forschungsprobleme und die Analyse großer, unstrukturierter Datensätze in einem petabyte-skalierten Umfeld.

Responsibilities

Define and frame new research problems in fraud detection.
Apply new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
Perform broad data analysis to support modeling and build business insights.
Work with unstructured and massive datasets.
Produce research reports meeting top-tier external publication standards.
Mentor and develop junior scientists.

Requirements

2+ years of data scientist experience
3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and parameters that affect their performance
1+ years of experience guiding and coaching a group of researchers
1+ years of experience working with or evaluating AI systems
1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent industry experience
Experience applying theoretical models in an applied environment

Desired Qualifications

Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in an ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

Benefits

Inclusive culture empowering Amazonians to deliver best results.
Work on petabyte-scale systems.
Develop novel algorithms.
Directly protect hundreds of millions of dollars in advertiser spend annually.
Maintain a seamless user experience.
Opportunity to publish research.

Skills

PythonSQLRmachine learningdeep learninggenerative modelinganomaly detectiontime-series analysisTransformersSagemakerRedShiftEMREC2S3

#data science#traffic quality#fraud detection#machine learning#deep learning#advertising

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