Staff Data Scientist, Experimentation, Consumer Group Data Science
CurrentFree Marketing Analytics (Social Media, SEO, Earned Media, etc)- Tax Year 2023 Off Season/Tax Year 2024* Build machine learning models for customer targeting.* Partner with data teams to automate ingestion of third party data to augment datasets used for platform campaign analysis and causal inference geo tests.* Work with stakeholders across marketing to identify ways in which we can leverage ML and Analytics to measure the impact of marketing interventions.* Use Causal Inference to measure the impact of specific types of marketing campaigns on KPIs. * Mentor Analysts in development of skills in ML, causal inference, and time series forecasting techniques.Social Media Marketing Team- Tax Year 2023* Used Bayesian statistics to estimate campaign traffic responses from prior distributions. * Built an ad spend analysis dashboard that provided spend effect curves to identify diminishing returns.* Provided proactive campaign performance deep dive analyses that led to 200% increases in the number of site visitors that authenticated into the product.Experimentation Methodologies FY23/24* Built batch processing data pipelines that collect experiment metadata from statistical analysis, experiment routing, marketing, and planning tools for executive-level reporting (PySpark, Scala, Python). * Quantify the incremental revenue gains from experimentation methods. * Own a Senior Leadership Team facing Experiment Portfolio Health Dashboard that is the source of truth for program level experimentation data.Staff Technical Project Manager, Experimentation Methodology FY22* Reported on Experimentation Program goal performance at the Company goal level.* Built a Program Health Dashboard that used Z-Curves to estimate experiment replication rates.* Assisted teams with the adoption of Sequential A/B testing, Bayesian A/B testing, and Multi-armed Bandits and application of methods to business areas.