Teams at Hudson Information Technology and Manpower Services

Lead end-to-end data science projects: define problems, explore data, build/validate/deploy predictive models, automate model pipelines on cloud, create dashboards, and communicate insights to stakeholders.

Design, develop, and deploy Angular/Python applications on GCP. Integrate with BigQuery and SQL, build CI/CD pipelines (Jenkins/Tekton), ensure code quality, write tests, optimize performance, and maintain documentation.

Lead development and implementation of preventive and predictive maintenance for onshore mechanical equipment, use CMMS to plan and monitor maintenance, analyze reliability data, perform RCA, support operations and maintenance teams, ensure safety and compliance, and recommend improvements to reduce downtime and costs.