Jobs at Prescience Decision Solutions

Design, develop, and maintain scalable Python backend services, REST APIs, microservices, and real-time WebSocket integrations. Work with SQL and NoSQL databases, caching systems, and distributed architectures while ensuring performance, reliability, security, and high availability. Collaborate cross-functionally, support production systems, troubleshoot issues, optimize performance, and deliver clean, tested, maintainable code.

Design and develop scalable Python backend services, REST APIs, microservices, and real-time WebSocket systems. Build responsive React applications and work with SQL/NoSQL databases, caching, and distributed architectures. Optimize performance, reliability, scalability, and security; deploy and support production applications; collaborate on architecture and code reviews; mentor engineers; and promote engineering best practices.

Design and develop scalable React web applications, reusable UI components, and frontend libraries. Build real-time WebSocket features while ensuring performance, accessibility, responsiveness, and browser compatibility. Collaborate with cross-functional engineering teams, write tested and maintainable code, troubleshoot issues, and drive frontend optimization and best practices. The role owns projects end to end and supports production-ready applications in potentially high-traffic environments.

Designs, builds, deploys, monitors, and supports production data pipelines and architectures. The role requires advanced Python and SQL, data modeling, transaction and fact table development, workflow orchestration, data quality controls, lineage, governance, and regulated-domain experience. It also involves scalable system design, CI/CD, Git-based development, YAML configuration, and collaboration with enterprise data platforms and tooling.

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.

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.