Data Scientist (Multiple Open Positions)

Gradient Ascent AI; Canada; Remote; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is looking for a skilled Data Scientist to drive impactful AI solutions in healthcare and social innovation. In this role, you'll leverage machine learning and predictive analytics to enhance service optimization and case management in the Compassionate Intervention program. Your expertise in natural language processing and AI governance will be crucial in developing models that comply with ethical standards. Join a passionate team dedicated to harnessing the power of data to make a difference in communities while enjoying a collaborative work environment. If you're ready to take your career to the next level, this opportunity awaits you!

Qualifications

• 5+ years of experience in machine learning, AI, or predictive analytics.
• Expertise in Python and major ML frameworks like TensorFlow and PyTorch.

Responsibilities

• Develop and deploy machine learning models for risk assessment.
• Collaborate with Data Engineers to operationalize ML models.

Skills

Machine Learning

Predictive Analytics

Natural Language Processing (NLP)

Statistical Analysis

Collaboration

Tools

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Job description

About Gradient Ascent

Gradient Ascent is a leading AI and data consultancy that helps organizations harness data-driven insights to drive impact. Our team is deeply committed to delivering AI-powered solutions for healthcare, government, and social innovation.

Role Overview

The Data Scientist will apply machine learning and predictive analytics to support case management, risk assessments, and service optimization in the Compassionate Intervention program.

Key Responsibilities

• Develop and deploy machine learning models to improve risk assessment and predictive intervention.
• Apply natural language processing (NLP) and AI techniques to enhance user engagement and automation.
• Build classification and recommendation models to support Compassionate Intervention case management.
• Ensure AI models comply with FOIP, HIA, and ethical AI standards.
• Collaborate with Data Engineers to operationalize ML models into production environments.

Required Qualifications

• 5+ years of experience in machine learning, AI, or predictive analytics.
• Expertise in Python, TensorFlow, PyTorch, or Scikit-learn.
• Strong statistical background in regression, classification, time series forecasting.
• Hands-on experience in MLOps and cloud-based AI deployment.
• Deep understanding of AI governance and data privacy laws (FOIP, HIA, GoA policies).
• Must be located in Canada and have required work permits (citizen, PR, etc.).

Apply now with the form below or email your resume & cover letter to [e-mail].