Data Scientist focusing on building and improving tools for credit risk management at FCC. Analyzing complex data to design and validate analytical models for risk assessment.
About the role
- 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
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
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