Senior Lead Data Scientist, Graph & Forecasting

Overview

Senior Lead Data Scientist for Graph & Forecasting to develop predictive intelligence using graph analytics, identity resolution, and advanced forecasting.

What you'll do

• Design and optimize graph-based data models for audience intelligence, similarity analysis, clustering, and relationship-driven analytics.
• Develop deterministic and probabilistic identity resolution frameworks across multiple identifier systems.
• Build forecasting and predictive models for supply prediction, incidence estimation, completion probability, and panel health.
• Implement validation, monitoring, experimentation, and governance to ensure model accuracy and production readiness.
• Collaborate with Product, Technology, and Data Platform teams on schemas, feature engineering, and data contracts.
• Continuously evaluate graph and forecasting performance, scalability, and business impact.

What you'll need

• 8+ years of hands-on experience in data science, applied machine learning, analytics, or related fields.
• Production experience developing and deploying graph analytics, machine learning, or predictive modeling solutions.
• Expertise in graph analytics including graph algorithms, similarity modeling, clustering, and network analysis.
• Experience with graph technologies such as Neptune, Neo4j, or TigerGraph.
• Strong forecasting and time-series analysis background, including predictive analytics and statistical modeling.
• Advanced proficiency in Python and modern data science tooling.
• Experience operating with large-scale, noisy, real-world operational datasets.

Details

• Work mode: Remote (U.S.A.).
• Reports to: VP, Data Science.
• Base salary: $120K–$155K per year.