data scientist
Posted on July 13, 2026 by Employer details Larus Technologies
Job details
<p>Job Summary Full-time : 37.5 Hours per week, Monday to Friday Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.</p><p>Reporting To : Director of Technology Salary Range: $80,000 to 95,000 Type of Vacancy : New Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market.</p><p>We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics.</p><p>This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.</p><p>Key Responsibilities 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 modelling with large datasets; Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders; 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.  Qualifications Some individuals are less likely to apply for a job unless they consider they are a perfect match.</p><p>At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace.</p><p>Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.</li><li>  Expected qualifications include: University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.); Master’s or Ph.D.</p><p>is considered an asset; 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines; Experience in a client facing role, regularly meeting client demands; 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;  Organized and focused; and,  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).</p><p>Technical Skill Requirements, working knowledge of:   Python; Machine Learning and Data Mining;   AI/ML Packages (e.g.</p><p>Tensorflow, Keras, Scikit-learn, PyTorch, Jax);  Python data analysis and manipulation tools (e.g.</p><p>pandas, numpy, dask); Source control-based system (e.g.</p><p>Git);    Trend analysis and predictive modeling; and, Data collection, analysis and reporting.  Preferred Technical Skills:   MLOps (e.g., Kubeflow);  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).</p><p>Preferred Client Skills:   Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives; Strong interpersonal and relationshi- Location Ottawa, ON
- Work location On site
- Salary$80,000YEAR annually
- Terms of employment Full time
- Starts as soon as possible
- vacancies 1 vacancy
- Source Talent.com #569925566072685321
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