Applied Scientist, Contextual Ads

Key Skills

Java Programming, Design, Python Programming, C++, SQL, AWS, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), Algorithms, Large scale data processing, Mathematics, Terabyte scale datasets

Job Description

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety, Contextual data processing and classification, and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

We are looking for a dynamic and innovative Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? An ideal candidate should be capable of applying machine learning, data mining and statistical techniques to solve problems of scale. The candidate should have an innovative mindset with reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence.

Key job responsibilities

• Design, prototype and test many possible hypotheses making use of both analysis and business judgment.
• Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
• Promote the culture of experimentation and applied science at Amazon.
• Demonstrated ability to meet deadlines while managing multiple projects.

BASIC QUALIFICATIONS

• Experience programming in Java, C++, Python or related language
• Master's in Computer Science, Mathematics, Machine Learning, or related quantitative field

PREFERRED QUALIFICATIONS

• Expertise in NLP
• Experience working on advertising solutions.
• Experience working with AWS Services, consuming, managing large scale datasets.