Director, User Data Products SpecificMedia
THIS JOB HAS EXPIRED DescriptionAs the first ad management platform dedicated exclusively to video, VINDICO allows advertisers to serve, track and measure all of their online video ad activity. Since 2006, VINDICO has been the gold standard in online video platforms, providing standardized reporting and analytics for the online video industry. The power of online video isn't just the audiences it reaches and how it reaches them. Its strength also derives from its ability to track an ad campaign and precisely measure the campaign?s effectiveness.
Define and execute on the strategic direction of Vindico Group?s Data initiatives, architecting and solutioning engagements with partners/clients.
Define data modeling goals, design and implement creative approaches to predictive modeling problems, and collaborate with Engineering to plan and construct the architecture surrounding their deployment. Perform model assessments, validation, and enhancement activities, and plan and schedule computing, research and reporting activities to meet timetables/objectives.
Improve Vindico?s end user data coverage and accuracy by building decisioning and predictive models with the multitude of data sources already available within Vindico or potentially available via Business Development efforts. This would be both to create expert systems for use in targeting Specific Media campaigns/Vindico Bid Manager Orders, and for supplying/selling valuable data to partners (including potentially Nielsen for OCR) directly or via Data Management Platforms (DMP).
Design cutting edge end user data products such as mapping TV automated content recognition (ACR)-based viewing data to retail brick and mortar sales data to compute ROI on TV investment. This would unlock new revenue streams by following up end users with ads across online media.
Drive design of Vindico?s Data Management Platform offerings for ingesting, securely storing, modeling out and distributing 3rd party end user data.
Design measurement and share shift tools for our clients on linear/addressable TV.
Design user persistency solutions in a world with no 3rd party cookies, using IP/User agent, Myspace 1st party cookies, Sitemeter 1st party cookies and their relationships with Householding Ids.
Work with Vindico Group?s sister company Xumo, and leverage all data collected on TVs for multiple purposes, one of which could be the creation and marketing of a large TV panel.
Maintain a working knowledge of data mining and visualization best practices.
RequirementsEXPERIENCE / QUALIFICATIONS:
Hands on experience in one or more of the following areas: Applied mathematics, modeling of complex systems, pattern formation in nonlinear systems, numerical analysis, data mining or another algorithmic computational area emphasizing on the use of machine learning/data mining to build predictive models.
Extensive expertise with very large data sets - with high volume, velocity and variety - including statistical analyses, data visualization, data mining, and data cleansing/transformation.
Under-the-hood knowledge of many of these machine learning concepts: supervised/unsupervised learning, loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling and probability distributions.
Experience prototyping and developing data mining solutions using statistical software packages (R, Matlab, etc).
Strong ability to communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights.
Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company.
Natural curiosity to enjoy diving deep into the material to find answers to yet unknown questions.
Familiarity with writing SQL queries and working with databases.
Master's degree in software engineering, computer science, math, economics, statistics or equivalent; advanced degree desirable.
||Beverly Hills, CA |
THIS JOB HAS EXPIRED