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Company Description
Epsilon is the leader in outcome-based marketing. We enable marketing that's built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon's award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world's top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world. For more information, visit epsilon.com. Follow us on Twitter at @EpsilonMktg.
Job Description
As a Data Scientist in our Decision Sciences Visualization team, you will create innovative visual analytics systems that reveal, explore and explain complex patterns and phenomena from Epsilon's peta-scale and massively-dimensional digital marketing ecosystem. You will reduce this complexity into sophisticated, interactive visual metaphors and stories that demonstrate the business value of Epsilon's platform directly to our stakeholders and global customers (which includes some of the world's largest brands). Our visualization challenges span hundreds of millions of highly detailed individual profiles across hundreds of millions of web sites and apps tied together by sophisticated real-time analytics that make near instantaneous decisions on messaging to those profiles trillions of times a day. This provides an incredibly rich environment of business questions and answers that are hidden within petabytes of data.
In this role, you will be a key member of a multi-disciplinary R&D team creating a full-stack visual analytics system that connects to big data platforms and machine learning systems to present complex enterprise-critical information in an engaging, intuitive and informative manner. This is a multi-faceted team effort involving an array of technologies such as Python, PySpark, Scala, SQL, Hadoop/HDFS, Elastic Search, GPU clusters, D3.js, Reactjs and more. We are looking for strong candidates with extensive experience in clustering, dimensionality reduction and machine learning (particularly unsupervised techniques) on large scale computing clusters, and who are driven by the desire to see those results translated into actionable insights.