Job Description

Job Description:

The Data Science Engineering Analyst will play a pivotal role in analysing complex datasets, designing and implementing predictive models, and deriving actionable insights to drive business decisions. This position requires a combination of data engineering skills and data science expertise to ensure robust data pipelines and effective analytical solutions.

Responsibilities:

1. Apply advanced statistical methods to large complex data sets to understand impact of abuse to the client ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
2. Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
3. 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.
4. 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.
5. Develop high quality training materials, create consensus and maintain communication for client with business stakeholders.

Experience:

1. 3 years of experience in data management, metrics analysis, experiment design and automation.
2. Experience with classification systems, ranking systems, or similar.
3. Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modelling, data mining and data analysis.

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