Data Scientist

Kabam
Vancouver
3 months ago

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Are you looking for an opportunity to integrate machine learning into product with a team of highly motivated Data Scientists? With an inquisitive spirit, you will provide machine learning driven insights and interventions to improve how Kabam's games operate and contribute to setting them up for continued success.

Kabam is looking for a Data Scientist with a strong technical and analytical background to join our team.

In this role, you can expect to:

Your background includes:

Together, we can create and support some of the best games ever made.

About Kabam

Kabam is a world leader of developing entertaining, immersive, and highly social multiplayer games for mobile devices. They merge consumer behaviour with the art of game design to create experiences that are enjoyed by millions of players across the globe. Each game has raised the benchmark in mobile gaming, bringing high-quality graphics, next-generation technology and revolutionary gameplay to the console in every player’s pocket.

Kabam has partnered with leading entertainment brands like Disney, Hasbro and Universal to create mobile games based on some of the world’s most iconic franchises.

Kabam’s games have generated hundreds of millions of downloads including Fast & Furious 6: The Game, Fast & Furious: Legacy, Marvel Contest of Champions, Transformers: Forged to Fight, Shop Titans and Mini Guns. These games have also received multiple awards such as Apple’s Editor’s Choice and Google Play’s Best Game of the Year.

Founded in 2006, Kabam has studios and offices in Vancouver, Montreal, Charlottetown, San Francisco and Austin. Kabam is a wholly-owned subsidiary of Netmarble Games.

Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

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