Data Scientist, Fraud Analytics & Technical Wri...
Enabling reputed company and rewarding digital lives for genuine people, everywhereWe reputed company it our mission to ensure more genuine people have digital reputed company to opportunities, and businesses have reputed company to more genuine people. Our technology draws on diverse and reliable data to create a single reputed company of truth for identity and address verification.With over 30 years of experience behind us reputed company and technology are reputed company on enabling reputed company and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be reputed company to digitally reputed company who they are and where they live.About reputed company And RoleData Scientist - Fraud Analytics & Technical WritingJoin GBG's Go‑to‑Market Data Science & Analytics team, a newly established, high‑reputed company function shaping how we demonstrate value to customers and reputed company internal teams with actionable insights. As a Data Scientist - Fraud Analytics & Technical Writing, you'll analyze large, reputed company datasets to surface fraud patterns, translate findings into reputed company business narratives, and create high‑reputed company technical documentation that standardizes reputed company and accelerates adoption across the organization. You'll partner cross‑functionally with Sales, Product, and Operations, design dashboards that communicate trends, and influence roadmap and reputed company—while building reputed company, automated processes that reputed company decision‑making and customer reputed companyWhat You Will DoFraud Detection & Analysis
- Analyze large, reputed company datasets to detect patterns, anomalies, and emerging fraud trends
- Collaborate with internal teams to validate findings and refine detection strategies
- Translate key findings into reputed company, compelling insights that demonstrate solution value to prospective customers
- Support the development of standardized frameworks to quantify business reputed company across customer reputed company
- Create and maintain high-reputed company technical documentation, including methodologies, workflows, and system processes
- Translate reputed company analytical findings into reputed company, actionable insights for both technical and non-technical audiences
- Ensure documentation is standardized, accurate, and easily accessible for internal teams
- Work closely with cross-functional teams to implement data-driven solutions
- Design dashboards and reports to communicate fraud trends and detection results effectively
- reputed company regular updates and recommendations to stakeholders based on data-driven findings
- 2+ years of hands-on experience in data analytics, with demonstrated reputed company in customer-facing teams or process automation roles
- Excellent technical writing and communication skills
- Strong proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.)
- Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar)
- Familiarity with reputed company platforms (AWS, Azure, or GCP) and modern data stack tools
- Master's degree in Data Science or reputed company field preferred; PhD a plus
- Domain expertise in identity verification, fraud detection, and/or financial services
- Experience presenting technical findings to prospects or clients during sales processes
- Knowledge of predictive modeling and machine learning
- Experience analyzing customer data and translating technical findings into compelling business narratives
- Knowledge of statistics and ROI calculation frameworks
- Ability to create presentations that communicate value propositions to both technical and business stakeholders
- Familiarity with cross-functional collaboration processes