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Job
Data Scientist - Anti-cheat
Data Scientist
• On-site
• Full-time
•
Stockholm, Sweden
Embark's Anti-cheat team is looking for a well-rounded data scientist to strengthen its operational capacity. You help game teams investigate suspicious activity, analyze the performance of detection rules and explore data to design new rules.
Responsibilities
- ▹Perform ad-hoc investigations into suspicious patterns and gameplay behavior
- ▹Work with game teams and customer support to verify and explain rule detections
- ▹Support the esport event teams with vetting of contestants
- ▹Provide reports and performance analyses of the anti-cheat operation
- ▹Support game teams with investigations into suspicious activities and performance analyses of detection rules
- ▹Explore data and player behavior to design new rules
Requirements
- ▹Strong proficiency in SQL and experience with database querying, preferably using tools such as BigQuery
- ▹Proficiency in Python
- ▹Experience working with Google Cloud Platform
- ▹Experience working with ETLs and data pipelines
- ▹Experience in predictive modeling and analysis over large datasets
- ▹Professional English communication skills
Nice to have
- ▹Experience and/or interest in games and anti-cheat
Soft skills
Creative and curious mindAutonomous, proactive workCollaboration across teamsContinuous learning
What we offer
- ▹Competitive salaries
- ▹Passionate colleagues to share knowledge with
About the company
Embark's Anti-cheat team upholds the integrity of its games, identifies unfair play and protects the player experience. Its toolbox includes client-side protections, third-party systems and machine-learning models; billions of telemetry events are collected each day from all games.
Languages: Angol: professzionális
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