Senior Lead Data Scientist, Graph & Forecasting

Dynata is seeking a Senior

Lead Data Scientist for Graph & Forecasting to lead the development of predictive intelligence capabilities that power key operational, commercial, and product decisions across the organization.

This role sits at the intersection of graph analytics, identity resolution, and advanced forecasting. The Senior Lead Data Scientist will be responsible for designing and optimizing graph-based representations of Dynata's data assets, developing predictive models that improve key business outcomes, and ensuring analytical models are robust, scalable, and production-ready.

Reporting to the VP, Data Science, this individual will partner closely with product, engineering, and platform teams to build capabilities supporting use cases such as identity resolution, feasibility prediction, panel health monitoring, audience intelligence, dynamic pricing, and operational optimization.

Key Responsibilities

Graph Science & Identity Intelligence

* Architect and optimize graph-based data models supporting audience intelligence, project similarity analysis, clustering, and relationship-driven analytics. * Develop and maintain resilient identity resolution frameworks across multiple respondent identifier systems using deterministic and probabilistic matching techniques. * Design graph structures that support downstream analytics, forecasting, optimization, and AI applications. * Continuously evaluate graph performance, scalability, and business impact. Forecasting & Predictive Modeling

• Build and maintain forecasting models for supply prediction, incidence estimation, completion probability, panel health, and other business-critical use cases.
• Develop time-series and predictive models that account for changing respondent behavior, market dynamics, and operational conditions.
• Extend forecasting approaches to support scenario analysis, optimization, and decision support.
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