Entry-Level Data Scientist (Fraud Detection)

Location: Mountain View, California, United States; hybrid workplace

Company

hirify.global provides an AI-powered fraud and risk platform with SaaS-based fraud detection and anti-money laundering solutions.

What you will do

• Develop and deploy machine learning models for fraud detection and risk assessment.
• Perform exploratory data analysis to identify trends, anomalies, and hidden patterns in transactional data.
• Clean, preprocess, and analyze large datasets using Python and data science libraries.
• Collaborate with engineering and business teams to integrate ML models into production systems.
• Monitor model performance and refine algorithms to improve detection accuracy.
• Track advances in fraud detection and ML/AI technologies.

Requirements

• Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Strong Python programming skills and familiarity with NumPy, Pandas, and scikit-learn.
• Solid understanding of supervised and unsupervised learning, anomaly detection, and classification.
• Experience with SQL and data manipulation or analysis of large datasets.
• Strong problem-solving skills, patience for deep data exploration, and effective communication.
• Prior internship or project experience in fraud modeling or risk analysis is advantageous.

Nice to have

• Ph.D. degree in a related quantitative field.
• Experience with TensorFlow, PyTorch, Spark, Hadoop, or Dask.
• Knowledge of graph-based fraud detection techniques.
• Experience with AWS, GCP, or Azure.

Culture & Benefits

• Open, positive, collaborative, and results-driven work environment.
• Opportunity to work with experts in big data, machine learning, security, and scalable infrastructure.
• Paid time off.
• Stock options.
• Health benefits.