Senior Data Scientist

Palitronica Inc.; Southwestern Ontario; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading tech company is seeking a Senior Data Scientist with over 5 years of experience in machine learning, specifically in non-deep learning methods. The chosen candidate will oversee customer-focused data science projects, developing tailored ML models to ensure reliability and performance. Responsibilities include designing and deploying models, conducting comprehensive data analysis, and effective communication of insights. Advanced Python programming skills are essential for writing maintainable and scalable code, ideally in a dynamic work environment.

Qualifications

• 5+ years of industrial experience in machine learning with expertise in non-deep learning approaches.
• Proven ability to apply deep learning to raw, non-textual datasets.
• Strong foundation in data analysis, including outlier detection and metrics.

Responsibilities

• Design, develop, and deploy machine learning models focusing on non-deep learning techniques.
• Apply deep learning to non-textual data.
• Conduct data analysis, feature engineering, and integration into production.

Skills

Machine learning expertise

Python programming

Data analysis

Outlier detection

Clustering

Classification

Anomaly detection

Communication skills

Critical thinking

Tools

Azure cloud platform

Job description

Overview

We are seeking an experienced Senior Data Scientist with a strong background in non–deep learning machine learning approaches and the ability to apply deep learning to raw, non-textual data. This role will focus on creating custom ML models tailored to the needs of customers, ensuring that the solutions are accurate, reliable, and production-ready.

You will be responsible for the end-to-end lifecycle of customer-focused data science projects—ranging from data analysis, model development, and evaluation to integration into production systems—while maintaining high standards of quality and performance.

Key Responsibilities

• Design, develop, and deploy machine learning models with a focus on non–deep learning approaches (e.g., tree-based methods, ensemble models, probabilistic models, clustering, anomaly detection).
• Apply deep learning techniques to raw, non-textual data where applicable.
• Conduct in-depth data analysis, including outlier detection and creation of data quality metrics to ensure robust model performance.
• Develop solutions for anomaly detection, data visualization/reporting, clustering, and classification tasks.
• Perform feature engineering, data preprocessing, and exploratory analysis for large and complex datasets.
• Collaborate with engineering teams to integrate models into production environments.
• Write production-grade, object-oriented Python code, ensuring maintainability and scalability.
• Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications

Required

• 5+ years of industrial experience in machine learning, with substantial expertise in non–deep learning approaches.
• Proven track record of applying deep learning to raw, non-textual datasets.
• Strong background in data analysis, outlier detection, data quality metrics, anomaly detection, clustering, and classification.
• Advanced proficiency in Python, including writing production-grade, object-oriented code (beyond Jupyter notebooks).
• Solid understanding of statistics, model evaluation, and validation techniques.
• Strong critical thinking and problem-solving skills.
• Excellent communication skills and ability to work in a dynamic, fast-paced environment.

Nice To Have

• Experience working with customer-specific ML solutions.
• Familiarity with the Azure cloud platform.
• Experience in startup or small-team environments.