Entry Level Data Analyst jobs in Canada

Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (3 days per week / hybrid), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 Ottawa-based Home Office (2 days per week)
Reporting To: Director of Technology
Salary Range: $100,000 to $125,000
Type of Vacancy: Replacement

We are looking for an enthusiastic and self‑motivated individual to join the Larus team as a Data Scientist. Our Data Science team develops end‑to‑end real‑time solutions for the enterprise market. We perform leading‑edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems and learn and apply new skills.

• Design and implement scalable, distributed AI/ML‑based systems;
• Design, development, integration, and testing of AI/ML models;
• Advocate high‑quality and best practices in software design and development;
• Close interaction with other team members on system integration and validation;
• Perform data analysis, visualization, and modeling with large datasets ;
• Perform data acquisition, cleaning, and transformation;
• Record and document work;
• Meet sprint goals with the team and release deliverables to stakeholders and customers; and
• Other duties as assigned.

Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.

• University graduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
• Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada);
• Master’s or Ph.D. is considered an asset;
• 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
• Passion for learning and solving complex problems;
• Strong object‑oriented programming in Python;
• Strong communication skills;
• Ability to work in a dynamic, fast‑paced work environment; and
• Organized and focused;

• Python;
• Algorithmic design;
• Machine Learning and Data Mining;
• AI/ML Packages (e.g. Tensorflow, Keras, Scikit‑learn, PyTorch, Jax);
• Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
• Source control‑based system (e.g. Git);
• Trend analysis and predictive modeling; and,
• Data collection, analysis and reporting

• MLOps (e.g., Kubeflow);
• Cloud Infrastructure (e.g., Databricks, Azure);
• Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask);
• Software Unit Testing (e.g., Python Unittest);
• Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops);
• Data Visualization (e.g., matplotlib, seaborn, streamlit);
• Optimization (e.g., optuna, katib, jmetalpy, GA); and
• Mathematics (e.g., linear algebra, statistics, mathematical programming).

• Competitive compensation package
• Comprehensive Health and Dental insurance package;
• Competitive vacation and paid time off;
• Company‑sponsored team‑building events; and
• Learning and development opportunities.

About Larus Based in Ottawa, Canada, Larus Technologies (https://larus.com) is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core business lines: Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products include the patented Total::Insight™ DSS, the Total::Perception™ Systems Simulation Engine (SSE), and the Total::Vision™ Video Analytics Solution (VAS). Our Data Science and Engineering Consulting focuses primarily on Retail, Supply Chain Management, Public Safety, and Defence, while Research and Engineering focuses on innovations in advanced AI/ML across industries. Larus is renowned for its ability to solve complex customer challenges that require multi‑sensor data collection, aggregation, exploitation, fusion, and analytics.

We thank all applicants; however, only those selected for an interview will be contacted. Upon completion of the recruitment process, all candidates interviewed will be notified if they are not selected for the role.

We use AI support tools to screen applicants for minimum role requirements.

At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Larus has an accommodation process and provides accommodation for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com to discuss arrangements.