Data Scientist Level lll

MbSolutionsIndian Springs, NV

About The Position

This role requires a Data Scientist Level III with a strong background in software algorithm development, database management, and visualization. The position involves working with complex problems in a team setting and requires a high degree of self-initiative and self-motivation. The successful candidate will be expected to learn new skills and technologies and step outside their comfort zone.

Requirements

  • Favorable Tier 1 (T1) security investigation.
  • Minimum of Bachelor's degree in computer science, operations research, or a comparable field.
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Exceptional analytical skills and problem-solving skills.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems.

Responsibilities

  • Develop and manage software algorithms.
  • Perform database management and visualization.
  • Apply mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Utilize knowledge of supervised and unsupervised machine learning concepts.
  • Employ common data visualization technologies.
  • Work effectively in small team settings to solve complex problems.
  • Learn new skills and technologies.
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