Data science analyst, TQ for Retail advertising
Bangalore, IN
15h ago


  • Advertising at Amazon is a fast-growing business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publshers;
  • and extends across US, EU and an increasing number of international geographies. The Ad Optimization group in Bangalore has the charter to build data-science focused products and platforms for Amazon Advertising.

    One of our key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace.

    We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic.

    The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion.

    We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.

    Traffic quality systems process billions of ad-impressions and clicks per day. by leveraging cutting-edge open source technologies like Hadoop, Spark, Redis and Amazon's cloud services like EC2, S3, EMR, DynamoDB and RedShift.

    We build and deploy complex machine learning and advanced optimization algorithms that operate at scale. We are looking for talented data science analysts who enjoy working on creative algorithms and who thrive in a fast-paced, fun environment.

    The Data Science Analyst will be responsible for delivering deep data-driven analyses with insights that drive the business.

    He / she would use a combination of analytics, data visualization and machine learning to identify gaps in current solutions as well as prototype new heuristics / algorithms that close the gaps.

    The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and a healthy curiosity for machine learning.

    The candidate should also have good programming and design skills to build analytics reports and conduct investigations on massive unstructured datasets. offers competitive salary, stock grants, health and other benefits.


    Masters with a focus on Analytics, Optimization, Statistics

    5+ year relevant industry experience -

    Hands-on experience in predictive modeling and analysis

    Strong skills in problem solving, programming and computer science fundamentals


    Experience with data science

    Experience with big data

    Experience in Computational Advertising

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