We are seeking a highly skilled and experienced Senior Data Scientist specializing in Anti-Fraud & Quality Intelligence to join our dynamic team. In this pivotal role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to develop innovative solutions that combat fraud and enhance data quality across our organization. You will collaborate with cross-functional teams to identify key challenges, design experiments, and implement robust analytical frameworks that drive actionable insights and improve operational efficiency.
Your primary responsibilities will include developing and deploying advanced algorithms to detect fraudulent patterns and anomalies in large datasets, conducting thorough data validation and cleansing processes, and building predictive models to assess risk and improve decision-making. You will also be responsible for generating comprehensive reports and visualizations to communicate findings to stakeholders, as well as mentoring and guiding junior data scientists in best practices and methodologies. A strong emphasis on continuous improvement and adaptation to emerging technologies will be essential in this role.
The ideal candidate will possess a Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field, along with a proven track record in anti-fraud analytics and quality assurance. Proficiency in programming languages such as Python or R, experience with big data technologies, and familiarity with data visualization tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment will be key to your success in this role. Join us in our mission to safeguard our organization against fraud while enhancing the integrity of our data!
Senior Data Scientist – Anti-Fraud & Quality Intelligence
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