סקירה כללית
^^משרה זו נלקחה מ Career^^Develop automated applications and tools that enable data science at scale. Collaborate with cross
• functional partners across Product, Platform, Machine Learning, and Operations to drive impactful strategic initiatives. Analyze complex fraud
• related problems and apply data science and algorithmic thinking to identify and implement optimization opportunities Drive projects end
• to
• end
• from ideation to implementation
• while balancing automation goals with fraud loss mitigation Support strategy discussions with insights derived from exploratory data analysis and reporting Collaborate with cross
• functional teams (product, engineering, operations) to translate business needs into scalable data science tools Engage stakeholders throughout project lifecycles by understanding business needs and aligning on priorities, impact, and implementation Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets
• Ensuring the balance of automation goals with fraud loss. Engage stakeholders throughout project lifecycles to align on priorities, impact, and implementation Understand and measure the impact of new product features and fraud trends Bachelor’s degree in a relevant quantitative field (e.g., Industrial Engineering, Information Systems Engineering, Statistics) with 3+ years of applied data science/analytics experience, or a Master’s degree with 2+ years of experience. Strong analytical and problem
• solving skills with a data
• driven mindset Strong understanding of optimization techniques and decision
• making frameworks Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting etc. Experience working with large datasets, querying (e.g., SQL), and data manipulation Ability to translate complex problems into structured, scalable solutions Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting etc. Experience in project/program management (a plus). Experience in fraud/risk, financial systems, or fintech domains such as banking, credit, or payments (a plus)
דרישות המשרה
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