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Data Scientist
Joseph Michaels International
 
Job Location: Seattle, WA

We are looking for a data scientist with strong algorithmic and engineering background who can apply mathematical theories for experiment design, optimization, and analysis.

Responsibilities

  • Apply advanced mathematical theory, machine learning, constrained optimization, control systems, collaborative filtering, experimental design, and information retrieval to improve existing approaches.
  • Research, invent, design, build, and maintain prediction, optimization, and analytics technologies.
  • Develop and apply advanced statistical algorithms for analysis of large-scale, high-dimensional data.
  • Work both as a quantitative researcher and as a software engineer. Develop and implement high-performance algorithms in scalable, product-ready code.
  • Develop pragmatic solutions by designing flexible systems and choosing simple, straightforward solutions over unnecessarily complex ones.
  • Understand a broad range of data structures and algorithms and know how, when, and when not to use them.

Requirements

  • BA/BS degree in Statistics, Math, Computer Science, or related quantitative degree. MS/PhD strongly preferred.
  • Strong statistical/math/analytical abilities.
  • Strong experience in machine learning, statistical modeling, and optimization.
  • Strong computing background with a thorough understanding of the fundamentals of computer science, data structures, and algorithms.
  • Significant experience writing code is preferred.
  • Experience with:
    • R, Matlab, or SAS.
    • Perl, PHP, Python, C, C++, or Java.
    • MySQL or other RDBMS.
    • Linux environments.




How To Apply:
You will be directed to another website for application instructions.
 
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