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Data Scientist

Warren, Michigan

Post Date: 10/16/2017 Job ID: 5135 Industry: Analyst, Information Technology Management

Data Scientist

Are you familiar with multinational corporation that designs, manufactures, markets, and distributes vehicles and vehicle parts? Our client is among the world’ s largest automakers. From electric cars to heavy-duty full-size trucks, they provide a complete range of vehicles that meets the needs and expectations of drivers on a global scale. 

  • Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation and visualization techniques to further enhance insight and internal performance optimization
  • Perform hands-on analysis, search pattern design, mining automation development and data reduction execution 
  • Mentors others to develop analytical skill sets throughout the organization
  • Maintain the latest knowledge in software and hardware products or services, trends, and identify best solutions to meet business requirements
  • Establish strong working relationship with peer teams to review requirements/problem areas and establish the appropriate statistical techniques to apply on available data
  • Drive the collection of new data and the refinement of existing data sources
  • Develop best practices for instrumentation and experimentation and communicate those to peer teams
  • Analytics that support Complex Event Processing and Real-Time Event Processing in the context of Big Data
  • Acts as the subject matter expert for Data Analytics as it pertains both Predictive and Prescriptive analysis and ensure alignment with industry best practices

  • Bachelors or M.S. in a relevant technical field
  • 4+ years of experience in a relevant role
  • Experience in machine learning, statistical analysis, building predictive models
  • Extensive experience solving analytical problems using quantitative approaches
  • Experience with the following Technologies / Languages: SAS, R and Python
  • Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • The ability to demonstrate competency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, visualization, and causal modeling
  • A strong passion for empirical research and for answering hard questions with data
  • A flexible analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Fluency with at least one scripting language such as Python or PHP 
  • Familiarity with relational or NoSQL database queries
  • Expert knowledge of an analysis tool such as R, Matlab, or SAS 
  • Experience working with large data sets, leveraging distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) 



Karen Kersten
Sr. Technical Recruiter

As a 25-year veteran of Technical Recruiting, I have one top priority: keeping you informed. I believe in being transparent and straightforward with you so that every interaction is comfortable and easy – together, we’ll get you the information and opportunities you need. Let’s have a conversation!
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