Data Scientist III providing analytical and strategic support to marketing analytics team at TD. Driving insights and data analytics for improved business strategy and performance measurement.
Responsibilities
Measurement and reporting on paid media, website, and business performance across all marketing channels for key TD businesses.
Translate complex data into clear, consumable dashboards and visualizations that enable stakeholders to monitor performance and answer key business questions.
Conducting causal impact analysis and match-market incrementality tests to understand the true business value of marketing and suggest optimization opportunities.
Understand the business objectives, translate data into insights and experiment opportunities, use the results to help Marketing make informed decisions.
Conduct deep-dive analysis on behaviors throughout the customer lifecycle to uncover actionable insights and optimization opportunities.
Collaborate closely with stakeholders across digital, marketing, business and technology teams to apply business and channel strategies that support enterprise and line-of-business goals.
Serve as a subject matter expert in digital marketing analytics, proactively provide analytical guidance to key stakeholders on channel performances, as well as identify, ideate, and conduct value-add analytics use cases that improve marketing channel effectiveness and business outcomes.
Maintain a culture of risk management and control, supported by effective processes and sound infrastructure.
Requirements
5+ years of relevant experience in a digital marketing, BI, or data science role
An academic background in Math, Statistics, Computer Science, or a related field
Knowledge of digital marketing channels and platforms (ie. DCM, SA360, DV360, Google Ads, Meta Business Manager)
Experience with incrementality test methodologies (ie. Geo Experiments, Time-based causal impact analysis)
Knowledge of leveraging and visualizing customer data and insights from internal data warehouses through the use of Databricks, Power BI, Tableau, DOMO
Experience using Python, SQL, or Spark to manipulate data and draw insights from large and complex internal datasets in Azure
Experience with Adobe Analytics is a strong asset
Experience in project development workflow tools such as JIRA, Confluence and GitHub preferred.
Critical thinking, storytelling and strong communications skills a must
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