Solutions Architecture, Senior Principal Engineer

Posted: 12/22/2020

Job Description

  •  Strong math and statistics background, including statistical modeling, analysis of variance, vectors.
  •  Experience in all stages in a data science project life cycle including designed & deployed Machine Learning models in production and Machine Learning techniques like Ranking, Classification, Clustering, Regression and Topic Modeling
  •  Strong database knowledge and expertise in SQL.
  •  Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field
  •  Degree in Science, Technology, Engineering or Math, or similar technical expertise in Data Science, Analytics, Modelling, Monitoring or Business Intelligence
  •  6 to 8 years of associated educational experience for a bachelor's degree; or 4 to 6 years with a master's degree;
  •  Familiarity with programming languages for data analysis, such as Python, R, tools for data science, frameworks and tools for data engineering.

Software Engineer
Austin, USA
MagRabbit USA

Contact details

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