workable
Data Scientist - Fraud Detection
DataVisor
USA
Full-time
Entry
Hybrid
Discovered 1 weeks ago
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Requirements
- 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 environment.
Nice to have
Familiarity with big data tools (Spark, Hadoop, Dask).
Knowledge of graph-based fraud detection techniques.
Experience with cloud platforms (AWS, GCP, Azure).
Benefits
- PTO, Stock Option, Health Benefits
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