Entry-Level Fraud Data Scientist (PTO, Stock Options)

DataVisor

Mountain View (CA)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

PTO
Stock options
Health benefits

Job summary

DataVisor, the world-leading AI-powered fraud and risk platform, is seeking an Entry-Level Data Scientist in Mountain View to join the Fraud Detection team. You will apply ML and data analysis to identify fraud patterns and build predictive models.

Collaborate with engineers and business teams, perform EDA, preprocess large datasets in Python, and monitor model performance. A Master's degree is required; PhD is a plus, and exposure to cloud platforms is welcome.

Qualifications

  • Master's degree in CS/DS/Statistics; PhD a plus.
  • Strong Python programming and data stack experience.
  • Experience with SQL and large datasets.
  • Knowledge of ML algorithms (supervised/unsupervised).
  • Excellent communication and teamwork.
  • Internship or project experience in fraud modeling or risk analysis is a plus.

Responsibilities

  • Develop and deploy ML models for fraud detection and risk assessment.
  • Perform EDA to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and data libraries.
  • 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 fraud detection techniques and ML/AI technologies.

Skills

Python programming
ML concepts
SQL
EDA

Education

Master's degree in Computer Science / Data Science / Statistics
PhD degree (a plus)

Tools

TensorFlow/PyTorch
NumPy/Pandas/scikit-learn

Job description

DataVisor, the world-leading AI-powered fraud and risk platform, is seeking an Entry-Level Data Scientist in Mountain View to join the Fraud Detection team. You will apply ML and data analysis to identify fraud patterns and build predictive models.

Collaborate with engineers and business teams, perform EDA, preprocess large datasets in Python, and monitor model performance. A Master's degree is required; PhD is a plus, and exposure to cloud platforms is welcome.

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