Data Scientist

V15P1Talonnn; Toronto; Presencial; CAD 3000 - 4500; Jornada completa

Descripción de la vacante

V15P1Talonnn in Toronto, Canada is seeking a Data Scientist to unlock insights from large datasets. You will apply data mining techniques, perform statistical analyses, and build high-quality prediction systems integrated with our products.

Responsibilities include feature selection, ML model development, data wrangling, and presenting results clearly. The role offers the chance to work with diverse data sources and contribute to smarter product decisions.

Responsabilidades

• 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

Descripción del empleo

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Data Scientist

Employee Canada Location, Toronto, ON, CA

30+ days ago Requisition ID: 5249886

Salary Range: CA$3,000.00 To CA$4,500.00 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