Role: Data Scientist - Fraud Specialist

Location: Remote

Full-time with Centific

Overview

Fraud Management looking for an experienced data analyst to support in-depth data analysis in order to protect business and customer experience.

Job Description

Experience in analyzing and interpreting complex data sets to identify patterns, trends, and anomalies and sharing conclusions
Experience in automating jobs and streams for data analysis purposes using C#, Python and SQL.
Experience designing and implementing automated workflows to streamline data processes.
Strong skills in creating Jupyter notebooks for data analysis, visualization, and pattern detection.
Ability to effectively communicate complex concepts and empower others to leverage automation tools for data analysis.
Familiarity with e-commerce product payment and risk systems is a plus.
Proficiency in employing statistical analysis techniques and data manipulation to detect patterns and trends.
Ability to work collaboratively with a global team not all located in the US – flexibility in hours will be a plus.
Ability to bring innovative ideas and approaches to enhance the effectiveness and efficiency of automated processes.
Strong project management capabilities to ensure timely delivery, efficient resource allocation, and effective coordination of tasks.
Ability to prioritize and manage multiple projects simultaneously, ensuring quality and meeting deadlines.

Additional Job Description

eCom, Banking or Finance background is required

Benefits offered – Comprehensive healthcare, dental & vision, 401k plan, PTO, etc.

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Data Scientist - Fraud Specialist

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