Senior Modeling Scientist, Inventory Performance at Quantcast (London, UK)

Quantcast is hiring a Senior Modeling Scientist to work on the Inventory Performance Team in our London office. As the real-time pulse of the Internet, Quantcast runs the world’s largest AI-driven insights and measurement platform directly quantifying over 100 million web destinations. Using machine learning to drive human learning, Quantcast provides brand marketers and publishers with meaningful audience insights, predictive targeting and measurement solutions across the customer journey. As a Senior Modeling Scientist, you will leverage our large datasets, computational power, and analytic tools to build high quality and diverse products to support Quantcast’s position as a world-class leader in advertising. You will help lead our efforts in designing, implementing and operating large scale machine learning systems in a production environment. The London Modeling team’s mission is two-fold: to drive improved performance for advertisers by delivering relevant advertising across the digital advertising ecosystem, and to build defenses to protect our clients against fraudsters trying to siphon money out of the advertising space.

Responsibilities

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• Design, develop and operate statistical models and algorithms to deliver performance at scale
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• Investigate modeling issues, identify root causes, and design solutions. Implement algorithms for production systems responsible for real time audience targeting on Real Time Bidding (RTB) exchanges
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• Prototype solutions and conduct data analyses to solve large-scale inference and control problems, Improve existing ad targeting products and introduce new products to delight our customers
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• Work cross-functionally with other teams to develop best practices in campaign setup, execution and optimization
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• Generate and review proposals for further research and development directions. Participate in machine learning study group and present findings to stakeholders as needed
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Requirements

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• M.S. in Computer Science or related technical field with 5+ years of relevant industry experience, OR Ph.D. with 2+ year of relevant industry experience
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• Expertise in these areas: classification, control systems, optimization, clustering, and recommendation systems
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• Fluency in Java, Python or similar object oriented programming languages
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• Experience in developing production software. Experience in Distributed Computing / MapReduce, key value stores like HBase
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• Proven ability to lead technical projects from conception to production
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