Research Scientist

**Description**

**Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.**

**Responsibilities**:

- Use optimization techniques to formulate, solve business problems, and build in-house decision-support systems.
- Develop and implement scalable quantitative mathematical models and collaborate with engineers to deploy these models.
- Perform quantitative, economic, and numerical analysis of the performance of these systems to find both exact and heuristic solution strategies for optimization problems.
- Create software prototypes to verify and validate the devised solutions methodologies.
- Investigate the conflict behind infeasible datasets and add appropriate handling to resolve such infeasibilities.
- Establish processes for large-scale data analyses, model development, model validation and model implementation.
- Develops complex models and algorithms that drive innovation throughout the organization.
- Can objectively weigh trade-offs of different algorithms and models.
- Guide data engineering efforts to ensure alignment with future optimization engine needs.
- Performing quality assessments of analytical solutions, particularly simulation and optimization models.
- Lead requirement and systems analysis efforts, including translating business requirements into quantitative mathematical models.
- Establish and maintain effective business relationships.

**Qualifications**
- A Master's Degree or PhD in Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, or Quantitative Methods and/or relevant experience commensurate to the role.
- 3 - 5 years of related work experience.
- Proficiency in using one of the commercial solvers like Cplex, Gurobi, or Fico Xpress, or non-commercial solvers like Coin-OR or SCIP.
- Strong background in optimization techniques to solve Mixed Integer Programming (MIP), Quadratic Programming (QP), or Non-Linear Programming (NLP).
- Fluency in at least one programming or scripting language (e.g. Python, Java, C, C++, C#).
- Experience in SQL and querying large datasets.
- Experience with fast prototyping.
- Familiarity with Network Optimization, Large Scale Neighborhood Search.
- Familiarity with Machine Learning models and algorithms.
- Excellent presentation and verbal/written communication skills, with the ability to explain complex analytical concepts to people from other fields.
- Self-motivated and highly independent.
- Strong problem solving and data analysis skills.

**Conditions of Employment**:
**Linguistic Requirements**

**Diversity and Inclusion**

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees' unique contributions to our company's success.