Data Scientist

Build models that support real decisions and turn data into actionable insights across analytics, AI, and business use cases. Emphasize impact and clarity over experimentation and complexity.

This role focuses on analyzing complex datasets to extract actionable insights and build predictive models. The data scientist will apply statistical and machine learning techniques to support business decisions and drive data-driven strategies.

The Data Scientist will design ML models for real-time recommendation, ranking, and pricing algorithms, and build reward structures that balance user motivation with sustainable ROAS. This role involves leading experimentation with causal impact estimation, measurement strategies like MMM and Multi-Touch Attribution, and zero-to-one projects from raw ideas to production-ready data products. The data scientist will partner with engineering to refine the data stack and establish gold-standard documentation.

This role applies data science methods to analyze marketing performance and customer behavior. The Data Scientist will build predictive models, conduct A/B testing, and collaborate with cross-functional teams to drive data-informed business decisions.

This role works directly with customers to implement and optimize marketing strategies using Minerva's platform, bridging product and customer success. It ensures clients achieve measurable results and value from AI-driven insights.

Design and build scalable data infrastructure to support Minerva's AI models and consumer intelligence platform. Work on large-scale data pipelines, data quality, and data governance to enable advanced analytics and machine learning.

This role builds and maintains data products that power Minerva's consumer intelligence platform. It focuses on data ingestion, transformation, and delivery to ensure high-quality, reliable data for customers and internal teams.