Tags: jd cae DataScientist
Full time
Job Number 71455
Data Scientist
If you’ve taken a plane to any destination in the world, chances are, your pilot was trained by CAE. With its strong customer focus, the Digital Accelerator team is dedicated to elevating the training experience to make pilots the best they can be.
Here are few reasons why folks love working at CAE!
Meaningful work that drives professional development Ability to enter and grow within the technology industry Work in a collaborative environment Be part of a high-performance team
Your Mission
As a member of the Data Science team, your mission is to design, develop, and implement end-to-end cloud-based analytics production pipelines that are scalable, repeatable and secure.
Your Role & Main Responsibilities
Be a key contributor to the AI Strategy
Design innovative Artificial Intelligence solutions to support aviation and health training operations. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom AI solutions and algorithms to apply to data sets. Experiment advanced modeling methodologies that aim increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework for AI experimentation and results analysis. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.
Be an active member of the business transformation
Drive research on aviation & healthcare industry trends and the commercial applications of machine learning to be a differentiator in the market Lead multiple service-oriented large-scale machine learning related projects: from functional to the implementation plan Lead a team for rapid and iterative development of validated minimum viable solution Develop and prototype new machine learning techniques, run experiments to improve comprehension and model efficiency rate
Be an inspirational and motivational colleague
Be an inspirational and motivational colleague
Share knowledge with team members & participate in various learning-sharing activities Contribute to the collaborative and stimulating work environment Be a change agent & Agile mindset promoter Be connected to the industry to know tendencies and suggest innovative ideas
Your Qualifications
Softskills
A drive to learn and master new technologies and techniques. Experience leading customer driven initiatives. Experience working in an Agile environment an asset. Excellent written and verbal communication skills for coordinating across teams.
Technical skills
Have a Master or PhD? in Statistics, Computer Science, Business Analytics or a related field Possess at least 5 years experience in Data Science or applied statistics. Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience manipulating data sets and building statistical models. Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (GLM/Regression, Time Series, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Experience working with and creating data architectures. Experience using web services: Redshift, S3, Azure, Spark, DigitalOcean?, etc. Experience analyzing data from 3rd party providers: Microsoft Application insights, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Microsoft Power BI, Business Objects, D3, ggplot, etc.
What we have to offer
Benefits: fully flexible for you to choose what is important Retirement: Defined Benefits Retirement Plan & Group Registered Retirement Savings Plan (RRSP) Financial Perks: Employee Stock Purchase Plan & numerous corporate discounts Personal and Family Programs: Physical Wellness Plan & Supplementary Maternity Plan Work-Life Balance: Flextime & California Fridays all year Fun at work: social and community events all-year round!
At CAE, connecting with people is very important. If you have any questions on this career opportunity, please do not hesitate to contact Sawsan Ghamraoui, Talent Acquisition Specialist (sawsan.ghamraoui@cae.com) or Arnaud Van de Voorde, Vice-President, Digital Accelerator (arnaud.vdv@cae.com).
Join the engine that is changing CAE, pointing towards the next horizon of growth through digital innovations to support our customers in their success.
Position Type
Regular
CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.
Equal Employment Opportunity
At CAE, everyone is welcome to contribute to our success. With no exception.
As captured in our overarching value “One CAE”, we’re proud to work as one passionate, boundaryless and inclusive team.
At CAE, all employees are welcome regardless of race, nationality, colour, religion, sex, gender identity or expression, sexual orientation, disability or age.
The masculine form may be used in this job description solely for ease of reading, but refers to men, women and the gender diverse.