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Director Of Data Science Jobs in Quebec (NOW HIRING)

BRP

Data Scientist

Montreal, QC · On-site

This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities for BRP. YOU'LL HAVE THE ...

Valtech

Senior Data Scientist

Montreal, QC · On-site

This role is responsible for leading complex analytical, predictive, and applied AI workstreams, operating with a high degree of independence and serving as a trusted advisor on data science and AI ...

Intact Financial

Senior Data Scientist

Montreal, QC

Keep abreast of the latest trends and methodologies in data science and integrate them into your work. * Tool and platform maintenance: Help maintain and improve our data mining tools and platforms ...

trane technologies

Senior Data Scientist

Montreal, QC · On-site

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient ... What you will do Develop data science, machine learning, and generative AI solutions that support ...

National Bank

Senior Data Scientist

Montreal, QC · Hybrid

This job allows you to have a positive impact on our organisation thanks to your expertise in data science, analytical skills and mastery of visualisation and programming tools. Your job Develop ...

National Bank

Senior Data Scientist

Montreal, QC · On-site

This job allows you to have a positive impact on our organisation thanks to your expertise in data science, analytical skills and mastery of visualisation and programming tools. Your job * Develop ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

Improving quality of life around the world through software and services that increase the ... HOW YOU'LL MAKE A POSITIVE IMPACT As part of the Data Science Development team, you will contribute ...

TouchTunes

Senior Data Scientist

Montreal, QC

Use data science techniques to find data patterns, anomalies, and optimization opportunities. * Execution, evaluation, and reporting of A/B testing amp; cross-validating models to ensure their ...

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Cogeco

Senior Director, Data & Analytics

Montreal, QC · Hybrid

Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...

Intact Financial

Data Scientist II

Montreal, QC

Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple platforms, including commercial and ...

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All JobsOf Data Science JobsDirector Of Data Science JobsDirector Of Data Science Jobs in Quebec

Director Of Data Science information

What are the key skills and qualifications needed to thrive as a director of data science, and why are they important?

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures projects align with business goals. They often manage data infrastructure, collaborate with other departments, and require strong skills in statistics, machine learning, and leadership. The role typically involves setting priorities, managing resources, and communicating insights to stakeholders.

What are some common challenges faced by a director of data science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

What is the difference between Director Of Data Science vs Data Scientist?

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

Director Of Data Science jobs near you
Infographic showing various Director Of Data Science job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC

Full-time

Re-posted 4 days ago

Job description

About the team you are joining

The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs. These include:
Managing Safety and Operations Data Sharing Programs
Supporting OSS lines of business in their data, analytics, reporting and dashboard needs
Developing a coherent approach to data visualization and analysis
Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring
Adhering to data governance policies, quality standards and best practicesText
What your day would be like
Reporting to the Director, OSS Business Systems and Performance, you will  drive innovation through advanced analytics, data science, and AI. Leading a team of data specialists, you will advance analytical capabilities, oversee data integration and quality across diverse datasets, and deliver value-added solutions that identify emerging safety and security risks, operational trends, and opportunities.

What your day would be like

Lead, inspire, and develop a highperforming team of data specialists, analytics professionals and data scientists.
Set and execute the OSS vision and strategy for data insights and advanced analytics aligned with the corporate guidelines.
Oversee data integration across internal and external sources, ensuring scalable, reliable, and timely data pipelines for GADM and OSS
Shape and execute a data strategy that transforms complex industry data into actionable insights, enabling better decisions and measurable outcomes.
Partner closely with internal and external stakeholders to translate strategic priorities into analytical use cases, models, and insights.
Build collaborative relationships with IT technology peers to ensure solutions alignment with the enterprise architecture principles and technological building blocks.
Establish and enforce data quality, governance, and metadata processes to ensure trusted, accurate, and businessready data.
Define and track KPIs and outcomes to measure the impact, effectiveness, and ROI of analytics and AI initiatives.
Promote a datadriven culture by enabling selfservice analytics, upskilling teams, and improving data literacy across the organization.
Continuously evolve data and analytics capabilities by evaluating emerging technologies, techniques, and best practices and champion the adoption of modern analytics platforms, cloud technologies, and AI/ML capabilities in collaboration with IT peers.
Ensure responsible and ethical use of data and AI, including compliance with regulatory, privacy, and security requirements.

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