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Posted: Friday, September 1, 2017 6:20 PM

At Perficient youA?ll deliver mission:critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youA?ll do it with cutting:edge technologies, thanks to our close partnerships with the worldA?s biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too. WeA?re proud to be publicly recognized as a A?Top WorkplaceA? year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled. Perficients National DAI Practice is seeking a Data Scientist to join its consulting team in the Greater Detroit Area. The Data Scientist / Statistician will work in collaboration with and under the direction of the Director, Big Data and Analytics to provide Statistical modeling for digital automotive ecosystem to build smart cars. With a keen eye on data integrity, this role will drive enhancements in reporting, develop KPIs with the business and establish both process and measurement protocols. The Sr. Scientist, Statistician will oversee the strategic deployment of advanced analytics, modeling and data mining at FordDirect.7+ yearsA? experience across analytics, digital marketing/advertising, business intelligence, IT, and/ordata research and analysis3+ yearsA? experience managing advanced analytics and modeling teamsDirect marketing research experience including: Media Mix Modeling, Multi:Channel Media Optimization, Media Attribution Modeling, Social Media ROI, Behavioral Choice Modeling, CRM, Segmentation, Forecasting and PlanningProven experience designing innovative analytics techniquesExperience creating, developing and evolving an emerging data science practice is a plusAnalytics practice experience including: Business Development, Product Development, Client Management,Vendor collaboration, Public Speaking / Presentation experience7+ years working / programming in SAS environmentsExperience with RExperience with digital and traditional media planning, buying and optimizationExperience with big data systems (e.g. Cloudera Hadoop)Experience with data visualization software (e.g. Tableau) Required :Must have at least 5 yearsA? relevant, professional work experience in an agency or equivalent environment.Must have at least 5 yearsA? years of experience providing relevant marketing analysis experience in an automotive environment.Must have at least 5 yearsA? experience automating routine Excel tasks using macros and/or VBA.Must have at least 5 yearsA? experience creating rich data visualizations, dashboards and executive reports.Must have at least 5 yearsA? experience with web site analysis, specifically tools from Omniture, Webtrends, Coremetrics and/or Google Analytics.Must have at least 5 yearsA? experience implementing instrumentation strategies for websites and campaign tagging.Must have at least 3 yearsA? experience measuring social media channels. Preferred :Must be proficient using site reporting/analytic tools such as Tableau, DART, Omniture, DFA, Webtrends, Visual Science, Coremetrics, WebSideStory, etc.Must have strong written and verbal communication skills.Must be able to work in fast paced environment where flexibility is key and directions can change frequently.Must have an extreme attention to details and strong organizational skills.Must be a self:starter, highly motivated to excel w/minimal supervision.Must be highly skilled in using Microsoft Excel for data manipulation, analysis, and charting.Must be familiar with APIs, RSS feeds and web services.Must be familiar with search marketing (SEM and/ or SEO) and search marketing optimization.Must be familiar with website design and construction methods and the associated technologies.Must have excellent critical thinking and the capability of generating consistently accurate, useful reports as well as an

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• Location: Ann Arbor

• Post ID: 38986707 annarbor
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