Staff Data Scientist

Job Description

Responsibilities:

• Employ analytic techniques to determine ML model operating points, devise new features, and deploy rules to optimize our fraud protection system.
• Play a lead role in refining and reinventing our fraud monitoring, detection, and mitigation processes.
• Devise and implement innovative fraud strategy enhancements, automation, and complex analysis both independently and as a project lead.
• Respond to, investigate, and resolve new emerging fraud attacks and live issues.
• Collaborate with engineering and partner teams cross-company in support of implementing comprehensive fraud strategies.
• Adhere to platform KPIs related to fraud and customer experience.

Job Requirements

requirements

• Excellent communication and collaboration skills
• Desire to learn and improve constantly
• Self-motivated, tenacious team player
• Ability to drive good decisions through data with great attention to detail and excellent logical problem-solving skills
• Familiarity with the whole life cycle for fraud model or transaction analytic model development and deployment
• Exceptional coding skills in Python and R
• Advanced working knowledge in cloud AI and Machine Learning in GCP is a plus
• Familiarity with the distributed computing systems like COSMOS, Hadoop, MapReduce, Spark, Databricks, HDInsight and/or similar systems
• Advanced data visualization skills in PowerBI or similar application.
• 3+ years in a data scientist role with experience using machine learning models
• 3+ years conducting transaction analytics and managing production system rule logic to mitigate ecommerce fraud (or similar work in a closely related domain)
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus (Relevant work experience can substitute).