DataVisor

DataVisor

Data Scientist - Fraud Detection

Mountain View, Santa Clara County · Internship

Sponsorship not specified$110k-$160kDetected 51 days ago
PythonAlgorithmsSQLAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPySparkData AnalysisData ScienceStatisticsCommunicationProblem SolvingHadoop

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$125,4861 entry
Level II$168,9172 entries
Level III$212,3263 entries
Level IV$255,7574 entries

The bottom of this range ($110,000) is below the Level I prevailing wage of $125,486. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team.

Responsibilities

  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Collaborate with engineering and business teams to integrate ML models into production systems.

Requirements

  • Experience with SQL and data manipulation/analysis in large datasets.
  • 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).
  • 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).
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.

Skills

  • DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
  • Come join us!

Compensation

  • $110k-$160k

Benefits

  • PTO, Stock Option, Health Benefits
  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).

Company info

  • Our culture is open, positive, collaborative, and results-driven.
  • Position Overview: We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team.

This listing is sourced directly from DataVisor's careers page and normalized into a canonical job model.