Data Scientist

Brady Heywood
Type: Full-time
Brady Heywood
Level: Junior Level
3 years ago
Deadline: 2020-10-29

Job Description

  • Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources
  • Perform deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates
  • Apply visual analysis techniques and toolsets to extract patterns and meaning from data in a visual format
  • Build predictive models and machine-learning algorithms

Job Requirement

  • A degree in a highly quantitative field (e.g., Computer Science, Engineering, Statistics)
  • Proven experience in Python or similar
  • Experience in the development of statistical models, such as Bayesian, regression and linear optimisation models
  • Keen interest in learning new programming languages and frameworks
  • Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis
  • Attention to detail

Company Introduction

Brady Heywood specialises in determining the cause of engineering failure in significant multi-party construction and engineering disputes.

We Accept



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