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Acts as a product manager and business analyst in a SAFe Agile model, gathering requirements and designing analytics solutions for enterprise data and reporting tools like Tableau and BigQuery.
Lead a team building and optimizing scalable data pipelines using Oracle OIC, GCP, and Python to integrate ERP systems and deliver analytics-ready datasets for Mattel’s global operations.
Build and scale the AI-powered chat platform that lets users send remittances via WhatsApp, working across Python backends, React frontends, and React Native mobile apps on Google Cloud.
Who We Are At Moxxi, we’re redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in…
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Customer Data Scientist at Amplitude helping APJ customers design, run, and scale A/B tests and experimentation programs using Statsig’s platform and statistical best practices.
Owns A/B testing and experimentation for an AI-first e-commerce brand, pulling data from Shopify, GA4, and Google Ads to drive business decisions.
Builds and maintains scalable ETL/ELT pipelines for data integration in an e-commerce/retail cloud platform, transforming raw data into usable formats for BI tools and self-service analytics.
Build and maintain scalable .NET backend services and RESTful APIs using C#, ASP.NET Core, and microservices architecture on Google Cloud Platform.
Lead a team building enterprise-scale data-management apps in Python/React on GCP, integrating AI/ML to improve data quality and risk controls while ensuring regulatory compliance.
Build and maintain AI-powered cybersecurity back-end components, APIs, and cloud integrations using Python, Java, Go, and cloud tools for government clients.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
Technical Manager - AI & Data Risk Management - Financial Services Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into…
Develop secure, AI-powered back-end services for cybersecurity solutions using Python, Java, Go, and cloud tools like GCP and Kubernetes.
Design and build scalable data pipelines and warehousing for AI infrastructure, using tools like Dagster, dbt, Snowflake, and Tinybird to support analytics and ML workloads.
Build and lead enterprise-wide entitlements and authorization systems that enforce security controls, integrate AI agents, and scale across Goldman Sachs' global tech stack.
Build and maintain Java/Spring Boot microservices and full-stack Angular apps in a CI/CD environment, collaborating with cross-functional teams to deliver scalable solutions.
Build and maintain Mercari’s Experimentation Platform and Feature Flags systems, enabling A/B tests and safe feature rollouts while optimizing cloud costs and scaling for 10x load.
Build and maintain ML/data pipelines and backend services using BigQuery, GCS, and cloud-native tools to power LiveRamp’s identity resolution and agentic platform.
Lead the design and implementation of enterprise AI and data platforms on GCP, building scalable, secure cloud-native solutions with Vertex AI, BigQuery, and automation while mentoring engineers and enforcing governance.
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