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Data Scientist Machine Learning/Big Data loc : Greater San Diego Area


2016-10-19 14:49:47
Job Type: Full Time only
Budget $: 100,000 - 200,000

Responsibilities:

  • Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses.
  • Cluster large amounts of R&D and clinical laboratory generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark.
  • Perform machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods.
  • Design and develop novel algorithms to mine through massive volumes of genetic dataPerform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Requirements:

  • PhD in applied Computer Science, Mathematics, Physics, Engineering or Statistics required.3+ years of Machine Learning and/or Predictive Analytics experience.
  • 3+ years of Data Mining tools such as SAS (Base/Stat, EM, SNA, VA) and R.Excellent understanding of computer science fundamentals, data structures, and algorithms.Outstanding coding skills in Java, python, C++, C# or similar.
  • Expertise in data mining, information retrieval, text mining, graph theory, and signal processing is highly preferred.
  • Extended experience with Big Data technology (Spark, Hadoop, Hive).
  • Track record in combining analytic methods with advanced data visualizations.
  • Expert ability to breakdown and clearly define problems.
  • Ability to work with minimal supervision to find solutions to complex problems


Key Skills: