Data Scientist, DataVisor

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus
• Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus)
• Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.)
• Experience with SQL and data manipulation/analysis in large datasets
• Strong problem-solving skills and patience for deep-dive data exploration
• Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus
• Excellent communication skills and ability to work in a collaborative

Desirable

• We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team
• In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets
• You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities
• This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud
• Develop and deploy machine learning models for fraud detection and risk assessment
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data
• Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.)
• Collaborate with engineering and business teams to integrate ML models into production systems
• Continuously monitor model performance and refine algorithms to improve accuracy
• Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies