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.

Required Qualifications





- 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 energetic, 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.

Why Join Palitronica?

- Work with cutting-edge technology at the intersection of cybersecurity, AI, and advanced electronics testing.
- Help protect critical supply chains and infrastructure.
- Join a high-growth company serving some of the world's most demanding industries.
- Collaborate with a talented and mission-driven team.
- Make a measurable impact on the company's growth trajectory.
- Palitronica is an equal opportunity employer and welcomes applications from all qualified candidates.

Use of AI in Hiring

Palitronica may use artificial intelligence tools to assist with the screening or assessment of applicants. These tools are used strictly as an aid, and all hiring decisions are made by human reviewers.

📌 Senior Data Scientist (Waterloo)
🏢 Palitronica
📍 Waterloo