Senior Data Scientist

Visionaire Partners; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

A growing tech firm is seeking a Senior Machine Learning Scientist to support AI-driven automation projects. This full-time, remote role involves leveraging cutting-edge AI to enhance automation processes while collaborating with fellow engineers. Candidates across Canada are welcome, with a preference for those near Vancouver for occasional in-person meetings.

Qualifications

• 3+ years of experience in data science or ML role.
• Hands-on experience with deploying ML models into production.
• Strong communication skills and self-driven mindset.

Responsibilities

• Test and compare ML models to select optimal approaches.
• Analyze complex datasets to uncover trends and insights.
• Monitor and optimize deployed models over time.

Skills

Machine Learning

Python

Large Language Models

Data Analysis

Collaboration

Communication

Tools

PyTorch

TensorFlow

Scikit-learn

SQL

NoSQL

AWS

GCP

Azure

Docker

Kubernetes

Job description

A growing tech firm is seeking a Senior Machine Learning Scientist to support AI-driven automation projects. This is a full-time, remote role open to candidates across Canada, with a preference for those near Vancouver for occasional in-person meetings.

RESPONSIBILITIES :

Test and compare ML models to select optimal approaches

Validate model performance with robust metrics

Analyze complex datasets to uncover trends and insights

Deploy ML models into scalable, reliable production systems

Monitor and optimize deployed models over time

Collaborate with engineering and ML team members

Stay informed on advancements in ML, AI, and data science

REQUIREMENTS :

3+ years of experience in a data science or ML role

Hands-on experience with large language models (LLMs)

Proven track record deploying ML models into production

Skilled across the full ML lifecycle : data prep, modeling, deployment

Proficient in Python and building APIs (e.g., FastAPI)

Experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)

Familiar with SQL, NoSQL (e.g., MongoDB), and data pipeline tools

Knowledge of ML CI / CD, version control, and workflow automation

Exposure to cloud services (AWS, GCP, or Azure) and Docker / Kubernetes

Strong communication and a self-driven mindset

This is an exciting opportunity to apply cutting-edge AI in a high-growth environment.

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