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Thomson Reuters

Legal, financial data, and media services

Lead Data Scientist - Customer & Growth Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • At least 5 years of experience in data science, analytics, or applied machine learning in a B2B SaaS or subscription-based environment.
  • Experience building predictive or classification models that influence customer growth, retention, or expansion decisions.
  • Proficiency in Python or similar data science tools, including feature engineering and model evaluation.
  • Experience working with large, complex datasets such as product usage, behavioral logs, or campaign data.
  • Experience partnering with Marketing, Growth, or Customer Success teams to translate insights into action.
  • Understanding of experimentation, model validation, and measuring impact using statistical and business metrics.
  • Ability to communicate technical concepts and insights to non-technical stakeholders.

Responsibilities

  • Design, build, and maintain predictive models that support customer expansion, including propensity-to-upgrade and engagement scoring models.
  • Use behavioral, usage, firmographic, and lifecycle data to identify signals indicating readiness for AI adoption and expansion.
  • Partner with Lifecycle Marketing to translate model outputs into actionable segments and testable hypotheses across the customer lifecycle.
  • Collaborate with Marketing Operations to operationalize models within the Customer Data Platform (Treasure Data) for activation and measurement.
  • Develop features and datasets using product usage data, campaign engagement, learning activity, and customer attributes.
  • Validate, monitor, and continuously improve model performance, ensuring accuracy, explainability, and alignment to business outcomes.
  • Support experimentation by defining success metrics, analyzing lift, and interpreting results to inform optimization decisions.
  • Document modeling approaches, assumptions, and outputs to enable transparency, reuse, and cross-functional understanding.
  • Work cross-functionally with Data Engineering, Product, Customer Success, and Commercial teams to ensure data quality and aligned outcomes.

Desired Qualifications

  • Familiarity with deploying or activating models within analytics platforms or customer data platforms; experience with Treasure Data or similar platforms is a plus.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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