Shape the future of trust in the age of AI and join a mission-driven team to make the digital world safer. Develop and implement advanced fraud detection models to protect customers' businesses from fraudulent activities.
Requirements
- 3+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering.
- Proficiency in Python.
- Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus.
- Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection.
- Experience working with large datasets using distributed systems like Apache Spark and Dask, handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale.
- Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data.
- Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, dynamic startup environment.
Benefits
- Competitive salary and equity packages, including a 401k
- Remote-first culture — work from anywhere
- 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
- Unlimited PTO policy
- AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
- Family-Friendly environment; Regular team events and offsites
- Unparalleled learning and professional development opportunities
- Making the internet safer by protecting online transactions