Data Scientist

Full-Time, Permanent
Downtown, Toronto
Posted 5 months ago

Data Scientist

StackPros Inc. is seeking a full-time candidate to join our Data Systems Team in Toronto.

The Data Scientist will play a key role at StackPros, required to help create and maintain industry-leading quality and efficiency of service and software delivery.

StackPros will rely on the Data Scientist to support the Data Systems team across many types of projects. The Data Scientist will be expected to meet and exceed StackPros’ quality standards, while helping the organization rapidly expand complex Machine Learning, Deep Learning, AI and related applications.

 

Key Responsibilities:

  • Apply automated techniques to gather data from disparate databases; clean the data and load the transformed data into a structure suited to the client problem and analytics approach
  • Perform exploratory data analysis to identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights
  • Design experiments for product initiatives and perform statistical analysis of the results with recommendations for next steps and future experiments
  • Building machine learning models (Linear and Logistic regression, Gradient Boosting, Random Forest, etc.) from development, validation, through to deployment in production
  • Help validate, maintain, optimize, and troubleshoot the performance of machine learning models being used in development and production applications
  • Create and design dashboards by using different data visualization tools to present reports and insights, and support business decision making
  • Prepare technical specifications and documentation for projects
  • Apply automated techniques to gather data from disparate databases; clean the data and load the transformed data into a structure suited to the client problem and analytics approach

 

Related/Complimentary Data Engineer Workflows:

  • Apply automated techniques to gather data from disparate databases; clean the data and load the transformed data into a structure suited to the client problem and analytics approach

 

 Qualifications:

  • Extensive experience using Python (Pandas, Numpy, Matplotlib, Searborn) to analyze large dataset.
  • Extensive experience using SQL Queries to extract data from relational database
  • Experience working with AWS cloud or Google Cloud Platform
  • Experience using Spark
  • Experience using Scikit-Learn, Tensorflow, H2O etc.

Apply Online

A valid email address is required.
A valid phone number is required.