Teams at OpenX Technologies

Own end-to-end data science projects: data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining. Design experiments, troubleshoot models and data issues, collaborate with product and engineering, mentor junior scientists, and improve team practices and tooling.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Design, build, and maintain large-scale data processing systems and pipelines (Spark, BigQuery, dbt/Dataform). Improve scalability, performance, and reliability; own projects end-to-end; extend and operate Airflow; work with cloud (GCP/AWS), Kubernetes, and CI/CD practices.