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Data Science Engineer (GCP) - Remote Canada + Benefits

Stacktics Inc.

Toronto

Hybrid

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading technology firm in Toronto is seeking a Data Science Engineer with experience in GCP to design and deploy machine learning models. The ideal candidate will have a strong background in statistical analysis and data visualization, proficient in Python and SQL. You will work closely with stakeholders, providing insights and enhancing business decision processes. This position offers a flexible remote working policy and a comprehensive benefits package.

Benefits

Flexible Remote Working Policy
100% employer-paid benefits package
Regular Lunch and Learns
Standing desks
Fully-loaded kitchen
Awesome Employee Events and Activities
Participation in Community Engagement

Qualifications

  • Bachelor's degree in a relevant quantitative field; Master's or Ph.D. is a plus.
  • 3+ years of experience in a data science or machine learning role.
  • Strong proficiency in Python and SQL.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.

Responsibilities

  • Work with stakeholders to understand requirements and develop solutions.
  • Perform exploratory data analysis to generate actionable insights.
  • Design and deploy machine learning models on GCP.
  • Monitor model performance and troubleshoot issues.

Skills

Statistical analysis
Data visualization
Python
SQL
Machine learning frameworks
ETL processes
Problem-solving

Education

Bachelor's degree in Computer Science, Statistics, or related field

Tools

Google Cloud Platform
Looker Studio
Tableau
Power BI
Docker
Job description
A leading technology firm in Toronto is seeking a Data Science Engineer with experience in GCP to design and deploy machine learning models. The ideal candidate will have a strong background in statistical analysis and data visualization, proficient in Python and SQL. You will work closely with stakeholders, providing insights and enhancing business decision processes. This position offers a flexible remote working policy and a comprehensive benefits package.
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