Remote Customer Engineer: Analytics & ML Solutions

Switch Growth Inc.; Toronto; Hybrid; CAD 100,000 - 160,000; Full time

Job summary

Switch Growth Inc. is seeking a Customer Engineer in Toronto with a deep focus on analytics and machine learning. You will bridge client needs and technical solutions, translating data problems into scalable analytics features and production ML models.

The role combines data engineering, data science, analytics, ML infrastructure, and full-stack development, with emphasis on delivering high-quality, client-facing outcomes and impacting product roadmaps.

Qualifications

• 2+ years of full-stack development experience and 5+ years in analytics, data science, or ML-focused roles.
• Proficiency in SQL and Python, and familiarity with data platforms like BigQuery, Vertex AI, or similar tools.
• Experience designing and maintaining scalable data pipelines and ML models.
• Familiarity with Looker/Looker Studio for reporting and experience with marketing analytics, ROI modelling, or statistical analysis.

Responsibilities

• Act as the technical liaison for clients, transforming feedback into predictive models, dashboards, or automated ML features.
• Build across the full tech stack—SQL, Python, front-end frameworks—and design scalable data pipelines with production ML models.
• Collaborate with the business team to uncover insights and drive the analytics/ML product roadmap.

Skills

SQL

Python

Data pipelines

ML models

Looker/Looker Studio

BigQuery

Vertex AI

Agile methodologies

DevOps

MLOps/DataOps

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

Tools

Docker

Kubernetes

Looker

Job description

Switch Growth Inc. is seeking a Customer Engineer in Toronto with a deep focus on analytics and machine learning. You will bridge client needs and technical solutions, translating data problems into scalable analytics features and production ML models.

The role combines data engineering, data science, analytics, ML infrastructure, and full-stack development, with emphasis on delivering high-quality, client-facing outcomes and impacting product roadmaps.