This is a hybrid role in Vancouver, BC, Canada. Software Engineer
Position Summary
What You'll Do:
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Innovative Design: Create and implement cutting-edge bot and fraud detection methods to keep our clients secure.
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Data Analysis: Dive into complex datasets to develop powerful statistical and machine learning (ML) models that accurately
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Tech Integration: Leverage cloud technologies and modern programming practices to build resilient, scalable solutions.
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Agile Development: Become a key player in our agile development process, contributing to efficient and iterative progress.
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Collaborative Creativity: Work closely with team members, product managers, and stakeholders to demo your solutions and
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Customer Connection: Communicate with customers and frontline teams, gaining valuable understanding of use cases and
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User Impact: Develop user-facing features that simplify complex data, empowering security professionals around the globe
Key Areas of Responsibility
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Data Enthusiast: Dive into complex challenges with a passion for data. You'll be proficient in analyzing and processing vast
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Problem Solver: Tackle technical and organizational obstacles head-on with determination and creative solutions. Your
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Customer-Centric: Balance innovation with practicality; work closely with our codebase to deliver invaluable benefits to our
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Results-Oriented: Showcase your ability to execute tasks efficiently. Demonstrate your knack for overcoming impediments
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Continuous Learner: Stay ahead of the curve by keeping informed about the latest advancements in Data Science, Statistics,
Basic Qualifications
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Educational Background: Bachelor's degree in Computer Science, Data Science, Statistics, or minimum 5 years equivalent
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Technical Expertise: In-depth understanding of SQL, proficiency in analytical programming (Python preferred), and
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CS Foundational Concepts: Working knowledge of computer science concepts, networking, data structures, and algorithms.
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Programming Knowledge: Experience or coursework in Java 8+, with a solid understanding of Object-oriented principles and
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Data Analysis Skills: Demonstrated experience in performing data analysis, including familiarity with industry best practices,
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Cloud and Visualization Experience: Hands-on experience with at least one cloud service provider (e.g., AWS, Google
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Effective Communication: Ability to translate complex data insights into layman's terms for stakeholders to inform product
Join us
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