Sr./Staff Data Scientist

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. Excellent analytical and problem-solving skills. 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.

Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques. Collaborate with cross-functional teams to design and implement fraud detection systems and processes. Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior. Evaluate the performance of existing fraud detection models and systems, and continuously optimize them. Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning. Communicate complex data analysis and model performance results to both technical and non-technical stakeholders. Ensure data privacy and security compliance in all aspects of fraud detection and data analysis.