Data scientist at Palitronica

Palitronica Inc.; Southwestern Ontario; On-site; CAD 90,000 - 120,000; Full time

Job summary

Palitronica Inc. in Waterloo, Ontario, is seeking a Data Scientist who enjoys extracting structure from complex measurement data.

You will work with classical and statistical machine learning, including anomaly detection, clustering, and data-quality assessment, within a production ML framework built in Python. The role emphasizes understanding and improving model performance and robustness, with collaboration across data science, software, and hardware teams.

Qualifications

• 2+ years of applied data science or ML experience.
• Strong foundations in statistics, classical ML, experimental reasoning, and model validation.
• Hands-on experience with anomaly detection, outlier or novelty detection, clustering, or closely related methods.
• Proficiency with Python and common scientific-computing tools such as NumPy, pandas, SciPy, and scikit-learn.
• Ability to navigate modular production code, contribute testable changes, and participate constructively in code review.
• Sound judgment about leakage, class imbalance, threshold selection, uncertainty, and performance trade-offs.
• Clear communication across data science, engineering, and hardware disciplines

Responsibilities

• Explore and characterize high-dimensional physical measurement data, including quality, variability, outliers, and uncertainty.
• Build strong baselines and compare statistical, supervised, semi-supervised, and unsupervised approaches.
• Improve anomaly detection, outlier detection, clustering, and classification models with attention to explainability and repeatability.
• Diagnose data issues and model behavior in the existing production system, including changing distributions and unexpected edge cases.
• Develop useful features and representations with hardware, RF, software, and domain specialists.
• Design evaluation methods for limited labels, imbalanced classes, shifting operating conditions, and false-positive trade-offs.
• Read and make targeted, tested contributions to the object-oriented Python ML framework.
• Partner with software and MLOps engineers on integration, reproducibility, packaging, deployment, monitoring, and traceability.
• Document experiments, assumptions, results, and limitations clearly enough for others to review and reuse the work environments.

Skills

Statistics foundations

Classical ML

Experiment design

Model validation

Python programming

Tools

Python

NumPy

pandas

SciPy

scikit-learn

Job description

Full time on site position in Waterloo, ON, CA.

Overview

Palitronica is seeking a Data Scientist who enjoys finding meaningful structure in complex, real-world measurement data.You will work mainly with classical and statistical machine learning, including anomaly and novelty detection, outlier analysis, clustering, classification, and data-quality assessment.You will join an established ML system. Models are already in production, and we have a Python framework for developing, evaluating, deploying, and operating them.Your work will focus on understanding that foundation, improving model performance and robustness, and helping the system handle new data conditions and product needs.This is not an LLM, RAG, NLP, or chatbot role.Deep learning may be considered when the data and evidence justify it, but it is not the default or the focus.Python matters because you need to understand and improve the ML framework.

Responsibilities

• Explore and characterize high-dimensional physical measurement data, including quality, variability, outliers, and uncertainty.
• Build strong baselines and compare statistical, supervised, semi-supervised, and unsupervised approaches.
• Improve anomaly detection, outlier detection, clustering, and classification models with attention to explainability and repeatability.
• Diagnose data issues and model behavior in the existing production system, including changing distributions and unexpected edge cases.
• Develop useful features and representations with hardware, RF, software, and domain specialists.
• Design evaluation methods for limited labels, imbalanced classes, shifting operating conditions, and false-positive trade-offs.
• Read and make targeted, tested contributions to the object-oriented Python ML framework.
• Partner with software and MLOps engineers on integration, reproducibility, packaging, deployment, monitoring, and traceability.
• Document experiments, assumptions, results, and limitations clearly enough for others to review and reuse the work environments.

Required Qualifications

• Typically, 2+ years of applied data science or machine learning experience, or equivalent substantial applied research experience.
• Strong foundations in statistics, classical machine learning, experimental reasoning, and model validation.
• Hands-on experience with anomaly detection, outlier or novelty detection, clustering, classification, or closely related methods.
• Proficiency with Python and common scientific-computing tools such as NumPy, pandas, SciPy, and scikit-learn.
• Ability to navigate modular production code, contribute testable changes, and participate constructively in code review.
• Sound judgment about leakage, class imbalance, threshold selection, uncertainty, and performance trade-offs.
• Clear communication and the ability to work across data science, engineering, and hardware disciplines

Nice to Have

• Sensor, time-series, spectral, RF, industrial, or scientific measurement data.
• Signal processing, experimental design, weak supervision, or learning with sparse labels.
• Distribution shift, experiment tracking, model monitoring, or Azure-based ML workflows.
• Manufacturing, test and measurement, quality assurance, predictive maintenance, or cyber-physical systems.

Export Control, Controlled Goods & Security Eligibility

This position requires direct or indirect access to hardware, software, or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the U.S. International Traffic in Arms Regulations (ITAR), and/or the U.S. Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access, including eligibility for the Canadian Controlled Goods Program, and must be able to obtain a Canadian NATO Secret clearance.

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.