Staff Data Scientist

Description: Develop and implement advanced fraud detection models using machine learning and statistical techniques. Collaborate with cross-functional teams to design and implement fraud detection systems. Analyze large datasets to identify patterns indicative of fraudulent behavior. Evaluate and optimize existing fraud detection models to adapt to changing fraud trends. Communicate complex data analysis results to stakeholders. Ensure data privacy and security compliance in fraud detection processes. Requirements: 3+ years of experience in data science or machine learning, focusing on fraud prevention. Proficiency in Python and familiarity with cloud development (AWS, GCP, Azure). Strong knowledge of machine learning algorithms and statistical techniques. Experience with large datasets using distributed systems like Apache Spark. Excellent analytical and problem-solving skills. Strong communication skills for technical and non-technical audiences. Ability to work independently and collaboratively in a startup environment. Benefits: Competitive salary and equity packages, including a 401k. Remote-first culture allowing work from anywhere. 100% employer-covered health, dental, and vision insurance. Unlimited PTO policy for work-life balance. Family-friendly environment with regular team events. Opportunities for learning and professional development.