Data Scientist (Senior)

at  Larus Technologies

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.
Reporting To: Director of Technology
Larus is growing and we are looking for talented and enthusiastic individuals to join our team over the next three to four months! We are in search of self-motivated individuals to join the Larus team as Data Scientists. 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.

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.

EXPECTED QUALIFICATIONS INCLUDE:

• 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;
• 2+ 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).

• 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.