Postuler

Publié hier

Manager, Data Science

@ Questrade

Toronto, Ontario

7+ ans d’expérience
Postuler
SIGNAUX

En bref

Questrade is hiring a Manager, Data Science to lead data science and marketing science across Marketing and Product. The role combines hands-on engineering in Python, SQL and dbt with leading a team and owning marketing measurement, including media mix modeling, incrementality testing and attribution. The posting states a hybrid arrangement with at least three office days, a base salary of $140,000 to $180,000 CAD, and a bonus program for full-time permanent roles.

Responsabilités :

  • Define data science and marketing science vision and roadmap
  • Own marketing measurement across MMM, incrementality and attribution
  • Build predictive LTV, propensity and retention models
  • Write and review production Python, SQL and dbt code
  • Lead, mentor and develop a data science team

Résumé des exigences :

  • 7+ years progressive data science or advanced analytics experience
  • Bachelor's degree in a quantitative field or equivalent experience
  • Deep expertise in MMM, incrementality testing and causal inference
  • Advanced Python and strong SQL and dbt on cloud warehouses
  • Experience directing agencies, vendors or consulting partners
  • Proven track record leading and mentoring data scientists

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2026-11-13
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauGestionnaire
DomaineDonnées et analytique
Expérience7 an(s) et plus
Gestion d’équipeOui
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesData Science, Statistics, Mathematics, Computer Science, Economics
Avantages mentionnésCongés payés généreux, Congé parental généreux, Régime de retraite, Aide aux études, Prime de rendement, Mieux-être

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Offres sur Jobsy54
Description

Questrade is on a mission to help Canadians to become much more financially successful and secure.

For nearly 30 years, Questrade Financial Group has been delivering on that mission through investing, banking, mortgages, and real estate. Together, we tilt finance in favour of ambitious Canadians, creating new ways for them to seize the financial future they deserve.

We're looking for people who are ready to enter their career inflection point. Mission-driven, exceptional folks that never settle. The work here is hard because the responsibility is real. If that's the standard you've been looking for, keep reading.

The return on your career investment

  • Compensation and incentives built to reward the value you bring.
  • RRSP matching of up to 6%.
  • Health and wellness resources and programs, including $5,000 in mental health practitioner coverage.
  • $5,000 in tuition subsidies for job-related courses, every year.
  • 100% parental top-up, up to 26 weeks for birthing parents and 18 weeks for non-birthing parents.
  • A hybrid environment, with at least three days in the office built for working together.
  • Paid vacation, personal, and sick days.
  • A community care day to give back to the causes you care about.

This job posting is for an existing vacancy.

We’re looking for our next Manager, Data Science

The Manager, Data Science leads the vision and technical execution of data science and marketing science across Marketing and Product at Questrade. Operating as a hands-on technical leader, this role spearheads our unified marketing measurement strategy—combining media mix modeling (MMM), incrementality testing, and attribution to determine the commercial impact of brand and performance investments. The Manager designs predictive growth models (such as client lifetime value, propensity, and retention) that directly inform daily business operations, establishes production-grade model standards, and mentors a high-performing data science team while actively writing and reviewing code.

The mandate

In this role, you will:

  • Data Science Vision & Strategic Roadmap: Define and drive the data science and marketing science vision for Marketing and Product, establishing high technical standards and translating business growth priorities into a scalable modeling roadmap.
  • Comprehensive Marketing Measurement Strategy: Own the end-to-end marketing measurement framework, unifying media mix modeling (MMM), incrementality/geo testing, and multi-touch attribution into a cohesive view to guide capital allocation across brand and performance channels.
  • Client Growth & Predictive Lifecycle Modeling: Architect, build, and deploy high-impact predictive models—including client lifetime value (LTV), cross-sell/upsell propensity, and churn/retention—directly embedding them into day-to-day product and marketing operations.
  • Rigorous Model Governance & Production Standards: Hold all data science products to strict production criteria: ensuring business value is sized upfront, models are systematically validated against holdouts or baseline controls, and pipelines run reliably in production environments.
  • Hands-On Engineering & AI Workflow Adoption: Maintain an active hands-on engineering presence by writing, debugging, and reviewing production Python, SQL, and dbt models (on BigQuery, Databricks, or Snowflake), while utilizing AI coding agents to accelerate delivery with rigorous validation.
  • External Agency & Measurement Vendor Governance: Direct and govern external measurement partners, data vendors, and agency relationships—critically evaluating and pressure-testing their statistical methods, assumptions, and deliverables to ensure integrity.
  • Team Leadership & Statistical Authority: Lead, mentor, and develop a high-performing team of data scientists; act as the organization's subject matter expert on causal inference, experimentation design, and statistical rigor for adjacent analysts and cross-functional partners.
  • Comfortable using AI tools in day-to-day modeling and coding work, with the judgment to validate their output.

You’re ready for this mandate if you have the following qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Quantitative Marketing, or equivalent practical experience.
  • 7+ years of progressive experience in data science, marketing science, or advanced analytics, with a proven track record of models directly influencing marketing investments or product growth.
  • Deep practical expertise in media mix modeling (MMM), incrementality testing, geo-testing, multi-touch attribution, causal inference, and client lifetime value (LTV) / propensity modeling.
  • Advanced proficiency in Python for building production machine learning and statistical models; strong SQL and dbt expertise on cloud data warehouses (BigQuery, Databricks, or Snowflake).
  • Demonstrated experience directing external measurement agencies, vendors, or consulting partners, with the ability to critically pressure-test statistical methodologies.
  • Proven track record of leading, mentoring, and developing data scientists while remaining actively hands-on with modeling and code.

Nice to have

  • Master’s or Ph.D. in a quantitative discipline (e.g., Statistics, Econometrics, Machine Learning, Applied Mathematics).
  • Regular hands-on experience utilizing modern AI coding agents (such as Claude Code) to accelerate model development, coupled with rigorous validation of AI outputs.
  • Experience building a marketing science or data science practice from scratch in a fast-paced or greenfield environment.
  • Prior experience in fintech, digital banking, online brokerage, or regulated customer data environments.

Compensation Information

  • Base salary range: $140,000 - $180,000
  • The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Enter your career inflection point. Apply now.

#LI-RJ1
#LI-Hybrid

The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Base salary range

$140,000—$180,000 CAD

Technology and AI

We mix human ingenuity with advanced technology. For ambitious builders like you, we provide the latest technology to enable your creativity. You'll have everything you need to build the best outcomes and products for our clients.

Diversity and Inclusion

At Questrade Financial Group of Companies, we’re committed to fostering a diverse, inclusive, and accessible work environment where individuals are treated with dignity and respect. Our global team reflects the diversity of the communities we serve and operate in.

Accessibility statement

Candidates selected for an interview are contacted directly. If you require accommodation during the recruitment or selection process, please let us know. We will work with you to meet your needs.

AI in hiring

Questrade Financial Group of companies Applicant Tracking System uses artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

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