Senior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
Responsibilities
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models).
Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques.
Develops and applies novel models on customer data to identify areas to increase profits and reduce losses.
Partners with experimentalists to translate models into testable hypotheses.
Lead and coordinate data testing activities for CIBC’s FCERT ET QA Team, overseeing test case execution, coaching team members, and ensuring high-quality deliverables.
Compensation
competitive salary, incentive pay, banking benefits, a benefits program, defined benefit pension plan, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program
Responsibilities
Lead investigation and translation of business requirements into test cases
Design and manage end-to-end testing activities for various projects
Provide coaching and mentorship to team members
Identify obstacles or risks and provide status updates
Ensure test deliverables are approved and aligned with project goals
Design, develop, and deploy interactive data and AI applications using Databricks Apps.
Build React-based user interfaces and reusable front-end components using TypeScript/JavaScript, HTML, and CSS.
Integrate applications with Databricks capabilities, including Unity Catalog, Delta tables, Databricks SQL, AI/BI dashboards, Genie, MLflow, and Databricks REST APIs.
Integrate AI and LLM features through secure APIs and Databricks Model Serving endpoints to enable prompt-driven and context-enriched user workflows.
Develop lightweight back-end services and APIs using Python (e.g., FastAPI, Flask) or Node.js to connect front-end features to underlying data and models.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
Provides technical direction, guidance and support for architectural development that encompasses multiple technology disciplines, platforms and applications.
Compensation
Pay Range: $111,605.00 - $131,300.00
Responsibilities
Design and implement scalable Databricks Lakehouse architectures supporting enterprise data processing, analytics, and high-volume workloads.
Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake.
Modernize and migrate complex Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms.
Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions.
Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing.
Lead solution architecture across APRA’s data products and platforms, initially focusing on Azure Databricks to modernize legacy platforms and establish secure, scalable and sustainable data solutions.
Responsibilities
Lead solution architecture across APRA’s data products and platforms, initially focusing on Azure Databricks
Define current, transition and target-state architectures and technology roadmaps
Lead Databricks architecture across platform design, governance, orchestration, security, resilience, observability, performance and cost
Develop solution designs and architecture decisions and guide solutions through governance
Define reusable data, integration, engineering and DataOps patterns, including CI/CD, automated testing and infrastructure as code
IT Data Specialist for Financial Crime & Risk Management systems (Oracle - Transaction Monitoring and Customer Risk Rating solutions) focused on designing, developing, and maintaining technology platforms processing payments through behavior detection algorithms to detect suspicious and fraudulent activity.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Design, develop and Implement data controls and develop processes to ensure data integrity from source to target
Lead data initiatives within the FCRM Technology requiring extensive collaboration with multiple Business & Technology teams globally
Troubleshoot database and data pipeline issues efficiently
Independently perform data profiling, root cause analysis, and analyze Source to Target Mappings documents/data dictionaries
Lead triage meetings globally and collaborate with required stakeholders to determine fix for data issues
Requirements
University degree, preferably in technology/ data engineering
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