Big Data Engineer

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 Big Data Analyst role focuses on processing and analyzing massive datasets to generate business insights and support product development. The analyst will design and maintain data pipelines, perform complex queries, and create reports for internal stakeholders. Key responsibilities include ensuring data accuracy, optimizing data workflows, and collaborating with engineering teams to improve data infrastructure.

Build and iterate on internal tools and products, integrating AI capabilities across the full stack. Architect durable AI workflows, integrate AI APIs, and collaborate with business teams to improve workflows and solve fragmented data challenges.

The Machine Learning Engineer will design, build, and ship production-grade ML systems that power real-time offer ranking and reward personalization for a rewards platform. This hands-on role involves translating business problems into ML formulations, building reward/payout structures, and applying causal methods like A/B testing and uplift modeling to ensure shipped models drive business impact. The engineer will have significant influence over the ML infrastructure, from training pipelines to production models.

Responsible for core technology innovation and optimization of the online advertising delivery system. Must understand data processing requirements and design/develop corresponding processing systems, with familiarity in RTB, PHP/Python, Memcache, Redis, and Hadoop preferred.

Responsible for reaching out to mobile app developers, establishing partnerships through SDK, API, and oRTB integrations, and maintaining client relationships. Must monitor ad traffic trends, understand company products, and coordinate with internal departments to implement projects.