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Data Scientist

Data Scientist

EllisDonMississauga, ON, CA
4 days ago
Job type
  • Full-time
Job description

You as a Data Scientist will :

  • Apply and research on machine learning models for deployment with the goals to derive powerful insights, help solve business problems across multiple departments, and provide recommendations to improve pre-existing data structure
  • Leverage your knowledge of statistical methods and applications; expertise with data mining tools and techniques; and advanced analytical ability to derive actionable insights from big data
  • Analyze and dissect large, structured and unstructured datasets to identify meaningful patterns for potential forecasting abilities and insight delivery
  • Analyze large and complex data-sets to identify meaningful patterns that deliver insight.
  • Work with cross-departmental teams to identify high-value use scenarios that are amenable to an analytics solution.
  • Actively work with third-party partnerships to identify machine learning opportunities to automate and diversify Ellis Don’s core competency in-house
  • Communicate and explain complex algorithm and its outputs to business stakeholders in a succinct and coherent manner
  • Assist data engineers and establish best practices for building machine learning pipelines and shipping predictive models to production
  • Assist with the creation of informative visualizations that intuitively displays large amounts of data and / or complex relationships;

Is this the right role for you?

  • Graduate or post-graduate university degree in Computer Science, Mathematics or Statistics, Engineering or equivalent.
  • 2-4 years of relevant work experience.
  • Extensive experience solving analytical problems using quantitative approaches.
  • Comfort manipulating and analyzing complex, high-volume, high dimensionality data from varying sources.
  • Experience with very large datasets. Familiarity with relational, SQL, and NoSQL databases.
  • Expert knowledge of statistical analysis tools such as R, Matlab, Python or equivalent. Fluency with scripting languages such as Python or other.
  • Familiarity with basic statistical applications and machine learning algorithms (eg. linear / logistic regression, SVM, gradient boosting trees, supervised / unsupervised learning, deep learning).