Qualifications & Experience

Education and Certifications

- Master's or Ph.D. in fields related to privacy-enhancing technologies, artificial intelligence, machine learning, cybersecurity, cryptography, computer science, data science, mathematics, or statistics.

Relevant Experience

- 5+ years of recent demonstrated Python development experience with libraries such as numpy, scipy, pandas, polars, pyspark, pytorch, scikit-learn, and matplotlib/seaborn.
- 3+ years of recent demonstrated extensive experience in DevOps principles, practices, and methodologies including SOLID principles, software version control, continuous integration and deployment for data science applications.
- Demonstrated experience analyzing and working with large, complex datasets within public sector, financial services, or similarly regulated environments.





- Demonstrated experience developing and implementing Privacy-Enhancing Technologies (PETs), including data anonymization, de-identification, differential privacy, secure multiparty computation, federated learning, homomorphic encryption, or similar privacy-preserving techniques.
- Demonstrated knowledge of data structures, data models, and data relationships, including structured, semi-structured, unstructured, nested, graph, and network-based datasets.
- Demonstrated experience using cloud-based data and analytics platforms, including Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, and Docker.

📌 Software Engineer (Ottawa)
🏢 Ateko, backed by Bell Canada
📍 Ottawa