Teams at Prescience Decision Solutions

Develop machine-learning and analytical solutions for loyalty programs, including segmentation, propensity, recommendation, uplift, optimization, experimentation, and causal-impact measurement. Translate business questions into actionable recommendations, establish success metrics, partner cross-functionally on production-ready solutions, and support loyalty data platforms and products. Ensure data quality, reproducibility, governance, and responsible customer-data use while communicating findings to technical and executive audiences.

Develop machine-learning and advanced analytics solutions for loyalty programs, including segmentation, propensity, recommendation, uplift, optimization, experimentation, and causal measurement. Partner with product, marketing, engineering, and analytics teams to improve acquisition, engagement, retention, and customer lifetime value. Establish success metrics, ensure data quality and model governance, contribute to data products, and communicate actionable insights to technical and senior business stakeholders.

Owns Finance data architecture across transactional and analytical platforms. Designs data models, pipelines, integration patterns, governance standards, reconciliation controls, and data quality frameworks using MySQL, PostgreSQL, Hive, and Spark. Provides technical leadership, architecture reviews, mentorship, and long-term platform strategy while partnering with Finance, Engineering, Analytics, and Operations stakeholders.