Senior Applied Data Scientist
The role involves developing and implementing machine learning models and algorithms to solve business problems. The candidate will analyze complex datasets and collaborate with cross-functional teams to deliver actionable insights.
- On-site
- Canada
- Posted Aug 6, 2026
- 1 position
Job summary
The ideal candidate combines strong applied data science skills with practical experience moving exploratory analysis into repeatable production workflows. This person should be comfortable inheriting partially completed work, independently assessing its quality, and driving it through completion with clear documentation and limited oversight. The Artificial Intelligence Data Scientist is responsible for applying advanced AI and machine learning techniques to analyze complex datasets and extract meaningful insights to drive decision-making and innovation within the organization. Roles and Responsibilities: 1. Develop and implement machine learning models and algorithms to solve business problems. 2. Collect, clean, and preprocess data for analysis. 3. Collaborate with cross-functional teams to understand data requirements and deliver solutions. 4. Conduct exploratory data analysis and interpret results to provide actionable recommendations. 5. Stay up to date with the latest advancements in AI and data science to continuously improve methodologies and techniques.
What you’ll do
The role involves developing and implementing machine learning models and algorithms to solve business problems. The candidate will analyze complex datasets and collaborate with cross-functional teams to deliver actionable insights.
Requirements
The candidate must have strong applied data science skills and experience moving exploratory analysis into production workflows. They should be able to independently assess the quality of work and drive projects to completion with clear documentation.
Listed skills
- Machine learningPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Applied Data Science
- Machine Learning
- AI Techniques
- Exploratory Data Analysis
- Data Preprocessing
- Production Workflows
- Algorithm Development
- Data Cleaning
Job areas
- Data & Analytics
- Technology
- Science & Research
- Software
- Engineering
Additional details
- Minimum experience
- 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available