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Data Science and Engineering Professional
2 months ago
The Data Science Engineering Analyst will play a pivotal role in analyzing complex datasets, designing and implementing predictive models, and deriving actionable insights to drive business decisions.
Key Responsibilities- Apply advanced statistical methods to large complex data sets to understand the impact of abuse on the client ecosystem.
- Contribute to the strategy and development of new workflows against additional known vectors of abuse.
- Learn complex and technical concepts and systems and deliver meaningful results using them.
- Communicate highly technical results and methods clearly.
- Maintain, foster, and promote quality by providing regular feedback metrics to the Global team.
- Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows.
- Perform deceptive/manipulated content and generative AI investigations using various data sources, identify product vulnerabilities, and drive anti-abuse experiments to prevent abuse.
- Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation, and anti-abuse system creation.
- Develop high-quality training materials, create consensus, and maintain communication for clients with business stakeholders.
- 3 years of experience in data management, metrics analysis, experiment design, and automation.
- Experience with classification systems, ranking systems, or similar.
- Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modeling, data mining, and data analysis.