Apply now

Posted 24 days ago

Data Scientist

@ Larus Technologies

Ottawa, Ontario

Full-time2+ years experience
Apply now
SIGNALS

Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

Benefits mentioned

Health insuranceDentalPaid time off
Source and dates

Employer career site / ATS feed · jazzhr

Employer posting date
2026-10-13
First seen by our source
2026-10-09
Source record updated
2026-10-28

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentData & analytics
Experience2+ years
Hours per week37.5
Scheduleday
Travelair: none · ground: none
Work settingOffice, Home
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred)
Fields of studyComputer Science, Software Engineering, Electrical Engineering, Applied Mathematics, Engineering Physics
Security clearanceOther clearance
Perks mentionedGenerous paid time off, Visa sponsorship

Summary and details written by AI from the posting; the employer’s posting is the authority.

Larus Technologies

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

AI-Powered Intelligence for Mission-Critical Decisions

Full company description

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.

LinkedIn followers
5,968
People associated on LinkedIn
56
Reported office locations
  • Suite 310, 170 Laurier Avenue West, Ottawa, Ontario K1P 5V5, CA
Business categories
  • Security
  • Analytics
Other recorded names
  • Larus
  • Larus Technologies
Specialties
  • 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
Profile identifies a recruitment agency
No
Reported total investment
800,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

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…

FieldValue
IndustrySoftware Development
Company size11-50 employees
HeadquartersOttawa, Ontario
Organization typePrivately Held
Year founded1995
SpecialtiesMaritime Domain AwarenessLearning and predictive analytics for ISRC4ISR SystemsHigh Level Information FusionAIMLMachine LearningPrice OptimizationPromotion OptimizationDemand Forecasting
Open jobs on Jobsy3
LinkedInView page
Job description
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:
  • 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).
Required Skills:
  • 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.
Preferred 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).
Preferred Client Skills:
  • 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.
Benefits:
  • 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.

Similar jobs

  • Data Scientist

    Toronto, ON

    Scotiabank

    Candidates need expert Python skills, experience applying AI and machine learning to business problems, and strong SQL and big data skills. They also need Power BI expertise, a relevant STEM degree and strong communication skills.

    Python, SQL, Hadoop, Spark, Power BI, Google Cloud

  • Senior Data Scientist

    Oakville, ON
    Full Time

    Canadian Tire Bank

    5+ YOECandidates need a university degree in statistics, actuarial science or mathematics and five or more years building predictive models and scorecards. They need strong SQL, Python and SAS skills and the ability to explain analytical results to business stakeholders.

    SQL, Python, SAS, Databricks, FICO Analytics Workbench, SAS Enterprise Miner

  • Senior Data Scientist

    Ontario
    Remote

    Instacart: Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop.

    5+ YOECandidates need 5+ years in a quantitative role, a record of owning ambiguous cross-functional problems, strong experiment design skills, and SQL and Python or R. An MS or PhD in a quantitative field is preferred.

  • Senior Data Scientist

    Toronto, ON
    Full Time

    BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.

    5+ YOECandidates need a master's or PhD in a quantitative field and 5+ years building machine learning models in production. Strong Python, SQL and NoSQL skills, cloud deployment experience and clear communication are required.

    Python, TensorFlow, PyTorch, Kubernetes, NVIDIA Triton Server, Git

  • Senior Data Scientist

    Toronto, ON

    Conviva

    5+ YOECandidates need a PhD in Computer Science, Statistics or a related field, or an MS with 5+ years of applied ML experience. They need strong skills in machine learning, deep learning and statistics, Python proficiency, and habitual use of AI coding tools.

    Python, Scala, Spark, Ray, Claude, Cursor

  • Data Scientist

    Toronto, ON
    Full Time

    Bank of Montreal

    3+ YOECandidates need about 3 years of relevant experience or equivalent certification and education, with strong programming in Python or SAS. They also need SQL and big data skills (Hadoop, Spark), and cloud modeling or pricing optimization experience is an asset.

    Python, SAS, SQL, Hadoop, Spark, AWS SageMaker

  • Sr. Data Scientist, Fraud Analytics

    Toronto, ON
    Full Time

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    Candidates need a degree or diploma in analytics, statistics or computer science, plus experience with SQL, SAS, Python or Tableau. Strong modeling, communication and leadership skills are also required.

    SQL, SAS Miner, Python, Tableau

  • Senior Data Scientist II

    Ottawa, ON
    Remote

    Akamai: LinkedIn: https://www.linkedin.com/company/akamai-technologies

    8+ YOECandidates need 8 years of relevant experience and a Bachelor's degree or equivalent. They must know SQL, Spark and Python, machine learning, statistics and internet protocols, and communicate technical ideas clearly.

    SQL, Spark, Python

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.