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Data Scientist/Analyst

Job Category:
Technology Provider
Career Level:
Mid Career (2+ years of experience)
Job Type:
Full Time/Permanent
Positions:
1
Company Name:
Vision IT
City:
Warren
Country:
USA
Description:

Data Scientist
Warren, MI
Major Duties and Responsibilities:

  • 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 Skills and Abilities.
  • Extensive experience solving analytical problems using quantitative approaches.
  • 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.) Experience.
  • 4+ years of experience in a relevant role.
  • Experience in machine learning, statistical analysis, building predictive models
  • Bachelors or M.S. in a relevant technical field.