Data Scientist
Ottawa, ON, Canada
Full Time
Mid Level
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: Technology Director
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. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. 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.
Key Responsibilities:
Qualifications
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.
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. We may use artificial intelligence (AI) tools to assist with reviewing applications and assessing candidates against job-related qualifications. AI-generated recommendations support our recruitment process but do not replace human judgment. Hiring decisions are made by our hiring team. Applicants who require accommodation during the recruitment process may contact [email protected]
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 [email protected] to discuss arrangements.
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: Technology Director
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. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. 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.
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. 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 undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
- 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;
- 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).
- Python;
- 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);
- 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).
- Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
- Strong interpersonal and relationship-management skills;
- Strong active-listening skills and the ability to translate business needs into data science solutions;
- Experience managing client expectations while balancing project scope, timelines, and priorities; and
- Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
- Competitive compensation package; $80,000-95,000
- 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. We may use artificial intelligence (AI) tools to assist with reviewing applications and assessing candidates against job-related qualifications. AI-generated recommendations support our recruitment process but do not replace human judgment. Hiring decisions are made by our hiring team. Applicants who require accommodation during the recruitment process may contact [email protected]
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 [email protected] to discuss arrangements.
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