Senior Lead Data Scientist, Graph & Forecasting
Core
Lead development of predictive intelligence capabilities using graph analytics and forecasting to power operational, commercial, and product decisions.
Role type
Senior Lead Data Scientist (Graph & Forecasting)
Builds
Production-ready graph-based data models, identity resolution frameworks, and forecasting models for business-critical use cases.
Domain
Market research, audience intelligence, and operational optimization
Deliverable
production ML models
Required skills
Graph analytics, time-series analysis, statistical modeling, Python, graph databases, similarity modeling, clustering, network analysis, model validation, feature engineering
Preferred skills
Identity resolution, entity resolution, master data management, graph embeddings, demand planning, cloud-native ML environments, optimization systems
Technologies
Neptune, Neo4j, TigerGraph, AWS
Responsibilities
Architect and optimize graph-based data models for audience intelligence and relationship-driven analytics; Develop and maintain resilient identity resolution frameworks using deterministic and probabilistic matching; Build and maintain forecasting models for supply prediction, incidence estimation, and panel health; Design and execute rigorous validation strategies for model accuracy and operational readiness; Partner with product and engineering teams to translate analytical findings into actionable business recommendations.
Seniority
Senior, hands-on IC with leadership responsibilities
