Our culture lifts you up—there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile, dedicated, problem solvers.
SOMMAIRE DES RESPONSABILITÉS DU POSTE :
As Data Scientist, you will play an active role in Cogeco’s digital transformation. Reporting to the Director Data Driven Marketing, your role will be to leverage all the data captured by Cogeco to deploy machine learning projects which will enable more efficient decision making at the organisation level and personalized touchpoints with customers. To do this, you will need to build and implement model following statistical models and algorithms while innovating by proposing innovative approaches to get interesting business value. You will work in close collaboration with Data Analysts and Data Engineers to make sure you use the best data and are able to generate useful insights from it.
Build data Science practice for Cogeco Connexion
Lead and mobilise business team to elevate Data Science practice best practices.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Analyze closely the data from the company databases to drive optimization and improvement of product development and business strategies.
Develop custom data models and algorithms to deploy machine learning projects.
Use predictive modeling to increase and optimize customer experiences, revenu generation and customer retention.
Assess existing AI solutions so that you do not re-create successful models by yourself (build vs. buy).
Contribute to transformation projects to ensure the built models are incorporated into business processes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor model performance and data accuracy.
Create a Data community and upskilling program for Data lead into Business units.
Master in BI, Machine Learning, Data Science, Mathematics, Computer Science.
EXPÉRIENCES DE TRAVAIL:
5-7 years as leading a data function in industry.
Understanding of underlying Machine Learning theory and the Predictive Modeling Life Cycle.
Knowledge of data science frameworks: SQL, R, Python, Spark, Scala, or equivalent.
Knowledge of machine learning libraries such as TensorFlow, Scikit-Learn, Pytorch or equivalent.
Strong problem solving, time management and work organization skills.
Strong knowledge of mathematics, statistics and computer science necessary to build and deliver machine learning models.
Solid understanding of modern data infrastructure. Skills within Google Cloud Platform, Big Query.
Ability to combine qualitative and quantitative insights.
Strong business and product intuition.
Understanding of broad spectrum of methods and disciplines in data science, and the applicability of different techniques for different contexts, e.g. not just focused on deep learning.
Constantly learning/growth mindset.
Soft skills: leadership and communication.
You’ll benefit from:
Flexibility: yes, we think that what you do matters. At work and at home.
Fun: we laugh a lot, it makes every day brighter.
Discounted services: we provide amazing services to our clients, and you’ll get them at home, because you deserve them.
Rewarding Pay: let’s be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.
Benefits: we’ve got you covered.
Career Evolution: join us and we will give you the tools to achieve your career goals!
Technology: you have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.
Being inclusive is simply welcoming you to be yourself!
Being inclusive also means fostering a climate of trust and respect, and encouraging diversity and equity for every candidate wanting to be part of the Cogeco team.
Being inclusive allows us to reduce barriers in the workplace and to take actions to enable accessibility for all!
Being inclusive is more than a word, it's our commitment to you!
If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at email@example.com