The Job

Data Scientist, Traffic Quality

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

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In short

As a Data Scientist in Traffic Quality at Amazon Ads, you will tackle complex fraud detection challenges using advanced machine learning and statistical techniques. This on-site role in Bengaluru, India, involves working with massive datasets and developing novel algorithms to ensure marketplace integrity and advertiser trust. The position requires a Master's degree and experience in data science or a related field.

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 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.
  • Work on systems that process billions of ad impressions and clicks per day.
  • Utilize Amazon's cloud services including EC2, S3, EMR, Sagemaker, and RedShift.

Requirements

  • 1+ 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.).
  • 2+ years of experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources.
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content.
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience working in STEM.

Desired 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.

Benefits

  • Opportunity to work on cutting-edge research in deep learning and generative modeling for fraud detection.
  • Work at unprecedented scale across desktop, mobile, and connected TV.
  • Contribute to protecting hundreds of millions of dollars in advertiser spend annually.
  • Develop novel algorithms balancing precision and recall under strict latency constraints.
  • Inclusive culture and workplace accommodations provided.
#Data Science#Traffic Quality#Fraud Detection#Machine Learning#Deep Learning#Amazon Ads#Big Data#Amazon Web Services
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Company

Amazon

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Qualification

Master, Doctoral

Applicants

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