Lead Data Scientist - Articial Intelligence Specialist

Synopsis of the role :

Do you have a passion for being at the forefront of Data Science innovation and building cutting edge, scalable analytical solutions? Are you a tech savvy individual looking for an exciting, dynamic role to grow your career fast with one of the largest global data analytics and technology companies? Do you want to create new products and push business forward enabling Canadians to live their financial best? If you are a leader in designing & developing Machine Learning solutions blending science, art & business logic and unlocking the power of data to solve complex business problems, we would love to hear from you!

As a Lead Data scientist within the Artificial Intelligence specialism of the Data & Analytics team at Equifax Canada, you will be critical to driving Data Science innovation, working closely with the rest of the Canadian Equifax Data Science & Insights team and the Data Science community internationally. You will play a crucial role in leveraging cutting-edge artificial intelligence and machine learning techniques to extract valuable insights from complex financial datasets, drive data-driven decision-making, and develop innovative solutions that impact our business and clients. You will collaborate closely with data engineers, scoring and modelling SMEs, business analysts, and domain experts to identify opportunities, build predictive models, and deploy AI-powered applications within a fast-paced and intellectually stimulating environment.

What you will do:

• For the first 3-6 months you will learn our data, our technologies and our platform.
• As part of a new team within the Data and Analytics area, you will work with our Director of AI & Innovation to help lead the vision and strategy of AI Data Science for Equifax Canada
• You will identify new opportunities to leverage cutting edge AI tools, solutions and algorithms to drive value for both internal stakeholders and external clients
• You will develop new agents to drive efficiencies and new opportunities within the Data & Analytics ecosystem
• Site Reliability Engineering (SRE) at Equifax is a discipline that combines software and systems engineering for building and running large-scale, distributed, fault-tolerant systems. SRE ensures that internal and external services meet or exceed reliability and performance expectations while adhering to Equifax engineering principles.
  
  

SRE is also an engineering approach to building and running production systems – we engineer solutions to operational problems. Our SREs are responsible for overall system operation and we use a breadth of tools and approaches to solve a broad set of problems. Practices such as limiting time spent on operational work, blameless postmortems, proactive identification, and prevention of potential outages.

Our SRE culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Equifax brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn, grow and take pride in our work

What You’ll Do

• Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures.
• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).
• Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.
• Build automated tooling to deploy service requests to push a change into production. Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.
• Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR
• Lead availability blameless postmortem and own the call to action to remediate recurrences.
  
  

What Experience You Need

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required
• 5-7 years of experience in software engineering, systems administration, database administration, and networking.
• 2+ years of experience developing and/or administering software in public cloud
• Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives.
• Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js
• Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
• System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.)
• Proficiency with continuous integration and continuous delivery tooling and practices
• Cloud Certification Strongly Preferred
  
  

What Could Set You Apart

An ability to demonstrate successful performance of our Success Profile skills, including:

• DevSecOps - Uses DevSecOps operational practices and applies engineering skills to improve resilience of products/services. Designs, codes, verifies, tests, documents, modifies complex programs/scripts and integrated software services. Contributes to the selection of the software development methods, tools, and techniques. Applies agreed SRE standards and tools to achieve a well-engineered result. Participates in reviews of own work and leads reviews of colleagues' work.
• Operational Excellence - Develops work plans for short-term assignments of moderate complexity, typically contained within their own function. Consistently monitor and measure systems against key metrics to ensure availability of systems. Continuously seeks new ways of working to make processes run smoother and faster.
• Systems Thinking - Uses knowledge of best practices and how systems integrate with others to improve one’s own work and the work of less experienced colleagues. Builds and maintains an understanding of technology trends and uses knowledge to identify factors that achieve the defined expectations of systems availability.
• Technical Communication/Presentation - Articulates complex messages and the impacts to stakeholders to build support and agreement. Demonstrates strong written and verbal communication skills and the ability to tailor to specific audiences. Work with others to achieve results and proactively address sources of conflict and emotion with focus on the best solution for Equifax.
• Troubleshooting - Applies a methodical approach to routine and moderately complex issue definition and resolution. Initiates and monitors actions to investigate and resolve problems in systems, processes and services. Determines problem fixes/remedies. Coordinates the implementation of agreed remedies. Analyzes patterns and trends.