Data Scientist, Artificial Intelligence
6 days ago
**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.**
**Key Functions**
- Accountable for the manipulation of complex and extremely varied data sets within Air Canada and external sources to solve real world problems
- Design, develop and evaluate innovative models, data science products and solutions for internal clients as well as for our data science team
- Oversee the day-to-day operations including the testing and maintenance of data science solutions
- Write highly optimized code to advance our internal Data Science Toolbox and practice
- Work in a multi-disciplinary environment with specialists in machine learning, data engineering and design and provide acquired expertise in these areas
- Ensure the optimization of data science models, including feature selection and build, using different techniques in the data science toolbox
- Accountable for the integrity of Air Canada's data extended to third party sources
- Ensure the continued enhancement of data collection procedures, including information that is relevant for the building analytical solutions
- Accountable for the integrity of data used for analysis and modeling
- Develop automated processes for large scale data analysis
- Provide technical guidance to junior members of the team
**Qualifications**
- MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, or Mathematics
- 5 to 9 years of experience as a data scientist or in a similar role
- Experience in statistical modelling and machine learning techniques
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as Scikit learn, XGBoost, Numpy, fbprophet, etc
- Experience with cloud machine learning tools (Azure ML, databricks), an asset
- Programming experience in at least two of the following languages: R, Python, Scala, SQL
- Strong presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
- Knowledge of distributed computing language such as pyspark
- Experience with data visualization tools such as plotly, seaborn, matplotlib, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
**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.
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