Data Scientist

Larus Technologies•Ottawa, ON

35d•CA$80,000 - CA$95,000•Hybrid

About The Position

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.

Requirements

University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.)
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
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)
Working knowledge of Python
Working knowledge of Machine Learning and Data Mining
Working knowledge of AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax)
Working knowledge of Python data analysis and manipulation tools (e.g. pandas, numpy, dask)
Working knowledge of Source control-based system (e.g. Git)
Working knowledge of Trend analysis and predictive modeling
Working knowledge of Data collection, analysis and reporting

Nice To Haves

Master’s or Ph.D. is considered an asset
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)
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
Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery

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
Other duties as assigned