Job Description

Data Scientist

Toronto - ON CAN, CLT (Initial Remote) CANADA

Roles & Responsibilities

• Work with Data Science and BUs to define solutions for institutionalizing data-driven decision-making in a cost-effective and scalable manner.
• Focus on driving analytical outcomes and impacting the Machine Learning and AI ecosystem.
• Experience in AI/Client platforms such as AWS Sagemaker.
• Focus on optimizing existing systems, building infrastructure, and eliminating work through automation.
• Influence application and security architecture and design across multi and hybrid cloud platforms.
• Peer-reviewing infrastructure-as-code (AWS Cloud Formation, Python, Terraform, or similar).
• Partnering with application and infrastructure teams to develop reusable cloud patterns.
• Deployment and troubleshooting of infrastructure code.
• Identify opportunities to build self-service capabilities and automate infrastructure and application deployments.
• Develop tools and best practices for platform development, developer productivity, automation (MLOps, CI/CD, A/B testing), and production operations.
• Design, develop and deliver critical components, frameworks, services, and products using AWS Sagemaker, Lambda, and container technologies in AWS.
• Develop processes, model monitoring, and governance framework for successful client model operationalization.
• Define standards for engineering and operational excellence for running best-in-class client platforms and continue to improve client platforms to keep up with the latest innovations.
• Assist in gathering and analyzing non-functional requirements and translating that into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. Required Skills
• 3+ years of Strong Python - data structures, OOPS - software implementation experience
• 3+ years of experience on SQL and RDBMS concepts
• 3+ years managerial experience
• 2+ Years of data engineering and ETL
• Strong Client pipeline tools, concepts (Client project lifecycle)
• Basics of data science, Client

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.