Description

You will lead a dedicated team to build scalable machine learning solutions that combat fraud. By blending hands-on data science with strategic leadership, you'll directly protect the business.

Requirements

• •6+ years experience in data-driven roles
• •Experience leading or mentoring Data Scientists
• •Proficiency in Python, SQL, and Tableau
• •Experience with classification and anomaly detection
• •Experience productionizing ML services and MLOps
• •Expertise in technical and executive stakeholder management
• •Strong problem-solving and business translation skills
• •Excellent communication and data storytelling skills
• •Experience with ML orchestration and MLOps tools

Tasks

• •Lead and mentor data scientists
• •Define the strategic fraud prevention roadmap
• •Manage project priorities and delivery
• •Model debtor behavioral patterns
• •Identify risk factors and fraud trends
• •Optimize the real-time decision engine logic
• •Approve hypotheses for experimentation
• •Collaborate with cross-functional teams
• •Introduce new data sources and functionalities
• •Deploy and operationalize machine learning services
• •Define requirements for robust ML infrastructure
• •Communicate findings through data storytelling
• •Provide clear and actionable recommendations

Tools & Technologies

Benefits