Data Scientist Senior
Data Scientist Senior
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Job Description
Job Summary
Fulltime: 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 Ottawabased 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 selfmotivated individuals to join the Larus team as Data Scientists. Our Data Science team develops endtoend realtime solutions for the enterprise market. We perform leadingedge 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/MLbased systems;
- Design development integration and testing of AI/ML models;
- Advocate highquality 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.
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.;
- Masters 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 objectoriented programming in Python;
- Strong communication skills;
- Ability to work in a dynamic fastpaced 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 Scikitlearn PyTorch Jax);
- Python data analysis and manipulation tools (e.g. pandas numpy dask);
- Source controlbased 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;
- Companysponsored teambuilding events; and
- Learning and development opportunities.
About Larus
We 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 dont hesitate to contact Larus at emailprotectedRequired Experience:
Senior IC
Employment Type
Full-Time
