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Director Of Data Science Jobs in Quebec (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Principal Data Scientist

Montreal, QC ยท On-site

CA$129K - CA$189K/yr

This role brings data science into day-to-day product engineering, from instrumentation and ... This role reports to the Director, Experience Design, IGS Visualization Solutions. Responsibilities

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 ...

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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 is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic leadership responsibilities.

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.

Is 40 too late for data science?

For a Director of Data Science, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis. Age should not be a barrier if you have a strong background and stay current with industry tools and trends.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means that a small subset of features or data points significantly influence model performance or insights, guiding focus on the most impactful variables during analysis and feature selection.

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.

Infographic showing various Director Of Data Science job openings in Quebec as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 34% Part Time, and 11% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Director of Data Services

Broadsign Careers

Montreal, QC โ€ข Hybrid

CA$500/day

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Director of Data Services
Location: Montreal, QC / Hybrid

About Us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.ย Come join us as a Director of Data Services in Montreal, Quebec !!

About the Role

As the Director of Data Services, you will be the strategic architect of our internal data ecosystem and the guardian of our data engineering standards. Reporting to the SVP of Operations, you will lead a high-performing team of Data Architects and Engineers to ensure our internal stakeholders - from Sales and Finance to Product and Marketing - have the high-fidelity insights they need to scale the business. Your mission is to move beyond "delivering data" to building Internal Data Products. You will transform our raw data assets into an automated, predictive, and cost-efficient engine that serves as the organization's brain. You will also serve as a Technical Center of Excellence, setting the architectural benchmarks for how business data is modeled, managed, and scaled across the entire company.

What to Expect

  • Define and execute the roadmap for our internal data warehouse and BI layer. You will treat our internal data as a "product" where the "customers" are our own departments and leadership.
  • Establish the company-wide "gold standard" for data modeling, infrastructure design, and cloud cost optimization. You will act as a technical consultant for other data-reliant groups, helping them scale their specialized projects while keeping infrastructure overhead low.
  • Proactively identify the drivers of operational performance. You will lead the shift from "what happened" to "what we should do," delivering insights that reduce churn, identify upsell opportunities, and optimize global scaling.
  • Oversee the development of high-value internal tools, such as automated Customer Scorecards for our Technical Account Management team, State of the Industry benchmarks for Marketing, and real-time revenue tracking for Sales & Finance.
  • Act as the "Chief Data Evangelist," raising the "Data IQ" of the organization. You will continue to evolve our internal universal business metrics (The Single Source of Truth), ensuring that both internal reports and external data products are aligned on core data definitions, and empower teams to use our reporting tools for self-service analytics.
  • Identify and operationalize AI use cases that enhance internal productivity while ensuring our data pipelines are optimized for both performance and cost-efficiency.

What you need to perform in this job

  • 8+ years in data leadership, with a proven track record of building internal BI/Data departments in a SaaS or AdTech environment.
  • Familiarity with the Google Cloud Platform (BigQuery) and Google Data Studio. You have a "systems-thinking" mindset-you don't just want a model to work; you want it to be cost-effective, scalable, and performant.
  • A proven ability to take raw operational data and translate it into a compelling "business story" that informs C-suite decisions.
  • Exceptional stakeholder engagement skills. You know how to provide technical guidance and infrastructure support to other teams in a way that is collaborative and enabling, rather than restrictive.
  • You can translate technical jargon for non-technical teams and hold your own in strategic discussions with other members of the Senior Leadership Team.
  • Familiarity with programmatic media economics or Out-of-Home (OOH) advertising is a strong plus.
  • You are a builder who is bored with the status quo of "request-response" data services and eager to lead an organization toward predictive, high-value data maturity.

What we bring to the table

  • Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one (100% employer-paid). $500 annual Health Care Savings Account (HCSA) for additional health-related expenses. Unlimited access to virtual healthcare platform (Telus Health).
  • Wellness: $500 annual Wellness fund for mental/physical health and office-related expenses.
  • Paid Time Off: Minimum 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
  • Retirement Savings: Group RRSP with a 50% employer matching up to 4% of your salary.
  • Financial Perks: Transportation reimbursement for travel to a Broadsign office.
  • Family Support: Parental leave salary supplement, including a 23-week maternity top-up for mothers.
  • Growth Opportunities: Training & development opportunities with a yearly budget to support professional growth.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry.