Publié il y a 24 jours
Data Scientist
@ Larus Technologies
Ottawa, Ontario
En bref
Larus Technologies is hiring a full-time Data Scientist for its Larus Labs team in Ottawa. The role designs and builds scalable AI/ML systems and works directly with enterprise clients to define problems and deliver solutions. The posting states a hybrid schedule of 3 office days per week and a salary of $80,000 to $95,000.
Responsabilités :
- Concevoir et implanter des systèmes IA/ML évolutifs
- Effectuer l'analyse, la visualisation et la modélisation de données volumineuses
- Interagir directement avec les clients pour définir les problèmes
- Acquérir, nettoyer et transformer les données
Résumé des exigences :
- Baccalauréat en sciences, génie ou économie
- 2+ ans d'expérience en déploiement de modèles IA/ML
- Programmation orientée objet en Python
- Expérience en rôle axé sur le client
- Admissibilité à une cote de sécurité du gouvernement canadien
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · jazzhr
- Date publiée par l’employeur
- 2026-10-13
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-28
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Données et analytique |
| Expérience | 2 an(s) et plus |
| Heures par semaine | 37.5 |
| Horaire | jour |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, Engineering Physics |
| Cote de sécurité | Autre cote |
| Avantages mentionnés | Congés payés généreux, Parrainage de visa |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Larus Technologies
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
AI-Powered Intelligence for Mission-Critical Decisions
Description complète de l’entreprise
Larus delivers AI-powered intelligence for organizations making decisions in complex, high-stakes environments — from defence and aerospace to maritime, security, and enterprise. We design, deploy, and stand behind intelligence systems that hold up in real-world use, not just in pilots. Our work helps military, government, and industrial partners reduce risk and move forward with greater certainty. What sets us apart: -Field-tested experience — decades deploying intelligence systems in real environments -Trusted in high-stakes settings — where reliability, security, and accountability are non-negotiable -Owned core technology — patented and built in-house, not assembled from third-party tools Built to endure — engineered to deploy, scale, and operate long-term Larus brings steadiness and focus to the decisions that matter most.
- Abonnés LinkedIn
- 5 968
- Personnes associées sur LinkedIn
- 56
- Bureaux déclarés
- Suite 310, 170 Laurier Avenue West, Ottawa, Ontario K1P 5V5, CA
- Catégories d’activité
- Security
- Analytics
- Autres noms enregistrés
- Larus
- Larus Technologies
- Spécialités
- Maritime Domain Awareness
- Learning and predictive analytics for ISR
- C4ISR Systems
- High Level Information Fusion
- AI
- ML
- Machine Learning
- Price Optimization
- Promotion Optimization
- Demand Forecasting
- Supply Chain
- and Predictive Maintenance
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 800 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Larus delivers AI-powered intelligence for organizations making decisions in complex, high-stakes environments — from defence and aerospace to maritime, security, and enterprise. We design, deploy, and stand behind intelligence systems that hold up in real-world use, not just in pilots. Our work helps military, government, and industrial partners reduce risk and move forward with greater certainty. What sets us…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Ottawa, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 1995 |
| Spécialités | Maritime Domain AwarenessLearning and predictive analytics for ISRC4ISR SystemsHigh Level Information FusionAIMLMachine LearningPrice OptimizationPromotion OptimizationDemand Forecasting |
| Offres sur Jobsy | 3 |
| Voir la page |
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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