Outseer
201 - 500 employees
💳 Fintech
🔒 Cybersecurity
☁️ SaaS
Fintech • Cybersecurity • SaaS
Outseer is a transactional risk management and fraud prevention company that provides a suite of AI- and machine learning-powered products (including a risk engine, behavioral biometrics, 3‑D Secure, Fraud Manager, and FraudAction) and a consortium data network to detect and stop payment fraud, scams, phishing, mule accounts, and other financial threats. Its platform and services are delivered to banks, card issuers, payment processors, and other financial institutions to reduce fraud while preserving customer experience.
Senior Data Scientist I/II
Job not on LinkedIn
🕒 March 27
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Outseer
201 - 500 employees
💳 Fintech
🔒 Cybersecurity
☁️ SaaS
Fintech • Cybersecurity • SaaS
Outseer is a transactional risk management and fraud prevention company that provides a suite of AI- and machine learning-powered products (including a risk engine, behavioral biometrics, 3‑D Secure, Fraud Manager, and FraudAction) and a consortium data network to detect and stop payment fraud, scams, phishing, mule accounts, and other financial threats. Its platform and services are delivered to banks, card issuers, payment processors, and other financial institutions to reduce fraud while preserving customer experience.
📋 Description
• Develop and implement machine learning models. • Perform advanced data analysis and identify patterns and trends. • Create insightful reports and dashboards to support data-driven decision-making. • Work with stakeholders to identify key metrics and opportunities for improving processes. • Perform data mining, exploration, and statistical analysis. • Create data visualizations, reports, dashboards, and perform data audits. • Leverage predictive models to optimize customer experiences.
🎯 Requirements
• Bachelor's degree in Data Science, Computer Science, or a related field. • Master’s degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. • 6+ years of experience working in Data Science, preferably within a Software organization. • Experience with financial fraud detection and prevention is a major advantage. • Advanced proficiency in Python for data science and machine learning applications. • Proficiency in SQL for data extraction and analysis. • Strong experience with data visualization tools such as PowerBI and Tableau. • Expertise in data mining, statistical modeling, and machine learning. • Familiarity with cloud-based infrastructure, preferably Azure. • Understanding of Java is a plus.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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