Top Data & Analytics Jobs in Ottawa
Seeking a Finance & Strategy Senior Analyst to join Block and help build Cash App, focusing on trust and financial operations. Responsibilities include financial analysis, forecasting, ad-hoc analysis, and presenting results to stakeholders.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
The Machine Learning Engineer will work within the Risk ML team at Cash App, focusing on developing machine learning solutions for managing banking deposits and mitigating fraud. Responsibilities include building ML-powered features for deposit products, improving customer financial management, and enhancing identity verification processes.
As a Senior Data Scientist in the Risk & Fraud organization at Cash App, you will partner with various teams to analyze large datasets, derive actionable insights, design A/B experiments, and drive strategic decisions using data science techniques. You will be responsible for monitoring key metrics, building and reporting on datasets, and communicating findings to stakeholders. The role requires a sense of urgency and a focus on customer experience impact.
Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.
Join Cash App as a Senior Data Scientist in the Support organization. Analyze large datasets, derive insights, drive meaningful change for customer support interactions, design A/B experiments, and collaborate with cross-functional teams. Build and report metrics, create data visualizations, and communicate effectively with stakeholders.
As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
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