Top Data & Analytics Jobs in Calgary, AB
You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.
The Senior Machine Learning Engineer will partner with product and marketing teams to enhance customer experiences and drive growth. Responsibilities include building and deploying machine learning models specializing in personalization for Cash App and Afterpay. The role emphasizes creativity, collaboration, and leveraging large transaction datasets for innovative AI applications.
As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.
The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.
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 Business Intelligence Engineering Manager at Cash App will lead the Third Party Response Analytics team, driving the vision for Business Intelligence Engineering, creating self-service tools, ensuring operational excellence, and developing a high-impact team while collaborating with various internal stakeholders.
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