Data Scientist - Event Analytics
Core
Design and apply causal inference approaches to estimate the true impact of events and marketing activities where randomized experiments are limited, connecting event data to CRM and sales pipelines to measure contribution to opportunity and revenue.
Role type
Senior IC data scientist (causal inference & event analytics)
Builds
Standardized measurement methodologies, attribution models, and experimentation frameworks for event marketing and demand generation.
Domain
B2B marketing, event management, and causal measurement
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference, regression modeling, propensity scoring, survival analysis, cohort analysis, time-series forecasting, uplift modeling, A/B testing, SQL, Python, R, data visualization (Power BI, Tableau, Looker), event technology platforms
Preferred skills
experience with B2B marketing data, connecting engagement data to CRM/sales pipelines, large-scale flagship event programs
Responsibilities
Estimate event impact using causal methods, establish measurement benchmarks, develop attribution models connecting marketing activities to outcomes, analyze channel effectiveness and funnel performance, validate complex datasets, collaborate with data engineering for data integrity.
Seniority
Senior, hands-on IC
