Data Scientist II leveraging machine learning and statistics to drive business strategy. Collaborating with teams to provide actionable insights from complex datasets.
Responsibilities
Develop Innovative Solutions: Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets
Data Transformation: Convert complex databases into actionable insights and recommendations that can drive business strategy
Stay Current: Keep up with the latest trends and methodologies in data science and incorporate them into your work
Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability
Actionable Recommendations: Make strategic recommendations based on data analysis to support decision-making processes
Cross-Department Collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization
Quality Assurance: Validate the quality of analytical approaches and outputs produced by other team members to ensure high standards.
Requirements
Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations research, statistics, geomatics or related field), or an equivalent combination of education and experience
MSc and/or PhD are an asset
Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems
Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub
Deep understanding of machine learning theories and methodologies
Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence
Strong enthusiasm for working collaboratively in a team environment
Ability to tackle vaguely defined problems with creative and innovative solutions
Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders
Strong organizational and time management skills to handle multiple projects and meet deadlines
Bilingualism (French / English) – For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
Benefits
Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more
Pension plan providing flexibility and long-term security
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