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Senior Manager, Data Science
Senior Manager, Data ScienceTD Bank • Toronto, ON, CA
Senior Manager, Data Science

Senior Manager, Data Science

TD Bank • Toronto, ON, CA
30+ days ago
Job type
  • Full-time
Job description

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  • Lieu de travail :
  • Toronto, Ontario, Canada
  • Horaire :
  • 37.5
  • Secteur d’activité :
  • Analyses, informations et intelligence artificielle
  • Détails de la rémunération :
  • $136,000 - $185,500 CAD### ### Les renseignements sur la rémunération publiés tiennent compte d’une prime de marché temporaire propre à ce poste, qui est réévaluée chaque année.La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise. En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.
  • Description du poste :
  • Why Join Us :
  • Work at the forefront of people analytics innovation, AI deployment, and ethical workforce data us
  • Be part of a high-impact team that supports resilience, equity, and long-term business performance through insight.
  • Competitive compensation, performance-based incentives, and opportunities for advancement in a top-tier financial institution.
  • Department Description :
  • TD's
  • Analytics, Insights and Artificial Intelligence
  • (AI2)
  • team provides consultative support with data & analytics-based business insights and / or solutions to guide decision making and / or strategic planning. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.
  • Job Description :
  • We are seeking an experienced and technical
  • Senior Manager Data Scientist to join our People Analytics team within AI2
  • . This role will drive advanced analytics, modeling, and data science initiatives that inform critical workforce decisions. This role blends hands-on technical expertise with strategic consulting, cross-functional leadership, and deep understanding of human capital data to produce actionable insights that shape talent, workforce planning and organizational effectiveness strategies.You will be responsible for designing scalable analytical solutions, leading complex initiatives, mentoring a team of data scientists, analysts, and partnering with senior HR and business leaders to translate data into impact. You will be helping stakeholders turn complex challenges into data-driven solutions powered by predictive analytics, AI and machine learning.You will collaborate closely with senior HR and business leaders to identify key workforce challenges, translate them into data-driven initiatives, and deliver actionable insights that balance business growth, regulatory compliance, and employee well-being.KEY ACCOUNTABILITIES :
  • Design, develop, and deploy advanced analytics and machine learning models for workforce planning, attrition, mobility, skills inference, performance etc.
  • Apply time series analysis, clustering, NLP, optimization techniques and scenario modeling to people related datasets
  • Build and automate scalable analytical pipelines using Python, SQL and modern data frameworks
  • Partner with data engineering to productionalize models and ensure sustainability and monitoring
  • Drive best practices around data quality, documentation, reproducibility, privacy and ethical AI
  • Ensure compliance with data governance, security, and privacy standards with the strong ability to drive use cases through stakeholders for approval
  • Establish analytical standards, code quality practices, and methodological rigor across the team
  • Build data science capability within HR and the broader organization
  • Design and deliver analytics and AI insights into key HR programs (e.g., succession planning, DEI, attrition risk, skills forecasting).
  • Build strong relationships with partners to understand key stakeholder business problems, develop hypotheses for testing and interpret analytics with confidence
  • Measure impact and drive continuous improvement using workforce KPIs.
  • Enable stakeholder self-service through dashboards and repeatable insight assets.
  • Work with implementation experts to devise business-applicable plans to ensure that sophisticated analytics translate into impact at scale in an organization
  • Job Requirements :
  • Master's or PhD in Data Science, Statistics, Math, Engineering, Computer Science or related field (or equivalent experience)
  • 10+ years of experience in data science / advanced analytics, with at least 3+ years in a leadership role - preferably in financial services.
  • Demonstrated experience leading people analytics or workforce strategy projects with measurable business impact.
  • Advanced proficiency in Python, R, SQL, Tableau / Power and cloud data environments (e.g., Workday, Databricks) is an asset.
  • Strong understanding of statistical modeling, machine learning, and experimental methods
  • Excellent communication, facilitation, influence skills
  • Understanding of regulatory, data governance, and privacy considerations in a highly regulated industry.
  • Solid understanding of business requirements and vernacular; know the language of business
  • Desire to ask questions and get a deeper understanding of issues; confidence to challenge perceptions and biases of individuals at every level of the organization
  • An in-depth understanding of the specific industry of the company and organizational challenges to effectively identify the value analytics in the business context
  • À propos de nous
  • La TD est un chef de file mondial dans le secteur des institutions financières. Elle représente la cinquième banque en Amérique du Nord de par son nombre de succursales. Chaque jour, nous offrons une expérience client légendaire à plus de 27 millions de ménages et d’entreprises au Canada, aux États-Unis et partout dans le monde. Plus de 95 000 collègues de la TD mettent en commun leurs compétences, leur talent et leur créativité au service de la Banque, des clients qu’elle sert et des économies qu’elle appuie. Nous sommes guidés par notre vision d’être une meilleure banque et par notre objectif d’enrichir la vie de nos clients, de nos collectivités et de nos collègues. La TD est une entreprise profondément engagée à être une leader en matière d’expérience client. Voilà pourquoi nous croyons que chaque collègue, peu importe son secteur d’activité, est en contact avec la clientèle. En parallèle de l’évolution

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Manager Data Science • Toronto, ON, CA

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