What will you do?
Cumul8 is a real-time data visualization and analytics platform serving large, varied clients.
Our data science team is responsible for the machine learning core of Cumul8, creating features gives Cumul8 a enhanced ability to monitor, understand, and leverage their data for better decisions.
As a Cumul8 data scientist/engineer, you will not only have an opportunity to directly help clients maximize the value of their data, but also research, design, and implement machine learning driven features in collaboration with our talented and supportive team.
What will your responsibilities be?
Design and implement powerful, intelligent platform features; from problem formulation to machine learning development as well as back end implementation .
Use best practises relating to software design and analytics.
Stay engaged on best practises relating to software design, big data, and data science.
Participate in agile development as well as code reviews.
Help promote data-driven culture within the company and beyond.
What do we look for?
Strong ability in Python (and its accompanying ecosystem) a must.
Solid in algorithms, data structures, and machine learning/statistics.
Solid in data handling and storage technologies (e.g. SQL/NoSQL)
Demonstrates an open mindset with an eye for detail.
An open communicator who enjoys a constructive, collaborative working environment.
Familiar with team technologies, e.g. Git, Jira, etc.
2+ years of back end development experience in Linux-based environments.
Bachelor degree (MSc/PhD welcome) in computer science or related fields such as electrical/computer engineering/statistics/mathematics/physics.
Experience in web stacks (e.g. microservices, containers, databases, security), distributed computation (e.g. Hadoop, Spark, or similar), or research experience in statistical/machine learning and/or AI would be considered favourably.
If available, please include a link to your GitHub, LinkedIn profile or portfolio website.
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About Cumul8 Technologies
Cumul8 is a team with expertise in engineering, data science, and user experience. Entertainment and gaming industry veterans who have worked on some of the world’s most successful movies and video...