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Data Science Engineer Specializing in GCP Machine Learning Solutions

Stacktics

Toronto · On-site Full-time Mid Level Yesterday

About the role

About

Transform data insights into actionable business strategies as a Data Science Engineer. Leverage GCP's cutting‑edge tools for machine learning, cloud infrastructure, and big data analytics.

This role seeks a seasoned technical expert who excels in the full data science lifecycle. The ideal candidate will pivot from data ingestion and model development to production, ensuring robust deployment and monitoring using GCP services. Advanced skills in statistical analysis and visualization are vital for uncovering insights that drive decisions and business growth.

Key Responsibilities

  • Collaborate with stakeholders to understand requirements
  • Conduct exploratory data analysis for actionable insights
  • Design and deploy machine learning models on GCP
  • Optimize Marketing Mix Modeling solutions on Google Cloud
  • Troubleshoot model performance to ensure reliability

Requirements

  • Bachelor's in Computer Science, Statistics, or related field
  • 3+ years in data science or machine learning
  • Strong proficiency in Python and SQL
  • Familiarity with visualization tools like Looker and Tableau
  • Experience with machine learning frameworks like Tensor Flow

Additional Information

Harness your expertise in GCP and machine learning to elevate data practices and support innovative marketing solutions.
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Requirements

  • Strong proficiency in Python and SQL
  • Familiarity with visualization tools like Looker and Tableau
  • Experience with machine learning frameworks like Tensor Flow

Responsibilities

  • Collaborate with stakeholders to understand requirements
  • Conduct exploratory data analysis for actionable insights
  • Design and deploy machine learning models on GCP
  • Optimize Marketing Mix Modeling solutions on Google Cloud
  • Troubleshoot model performance to ensure reliability

Skills

GCPGoogle CloudLookerPythonSQLTableauTensorFlow

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