Data Scientist

V15P1Talonnn

Toronto (OH)

On-site

< USD 3

Full time

4 days ago
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Job summary

V15P1Talonnn in Toronto, OH, US is seeking a Data Scientist to uncover insights from large data sets and build predictive systems integrated with our products.

Responsibilities include feature selection, implementing ML classifiers, data sourcing from third parties, data cleaning, ad-hoc analysis, and anomaly detection with ongoing performance tracking.

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

Management Toronto, OH, US

Salary Range: DZD56.00 To DZD465.00 Annually

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Responsibilities
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
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