Remote 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.