Senior Data Scientist, Graph Analytics

Job Summary

Leading the development of predictive intelligence capabilities, the full-time Senior Data Scientist, Graph Analytics will design and optimize graph-based data models and predictive models to enhance key business outcomes in a fully remote environment.

Key Responsibilities

• Architect and optimize graph-based data models for audience intelligence and relationship-driven analytics
• Build and maintain forecasting models for critical business use cases, monitoring their performance for continuous improvement
• Establish best practices for model evaluation and serve as a technical authority in graph analytics and forecasting methodologies

Required Qualifications

• 8+ years of hands-on experience in data science, applied machine learning, or analytics
• Proven experience in developing and deploying graph analytics and predictive modeling solutions in production
• Deep expertise in graph analytics, including graph databases and algorithms
• Strong experience with graph technologies such as Neptune or Neo4j
• Advanced proficiency in Python and modern data science tools