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Senior Data Scientist - Jobs in Dalhousie Ward

Larus Technologies
Job LocationDalhousie Ward
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent

Job Description

Job SummaryFull-time:37.5 Hours per week, Monday to FridayLocation:Hybrid - Ottawa Office, 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5, and, Ottawa-Based HomeReporting To:Director of TechnologyAbout the Job We are looking for an enthusiastic and self-motivated individual to join the Larus team as Senior 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. 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 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.
QualificationsSome 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.);
  • Master’s or Ph.D. is considered an asset;
  • 5+ 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;
  • 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).
Technical Skill Requirements, working knowledge of:
  • 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 Technical Skills:
  • 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).
Benefits
  • 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 LarusBased 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 analyticsWe invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system.We thank all applicants; however, only those selected for an interview will be contacted.  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.comPowered by JazzHR

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