Senior Data Scientist, ML— Fraud Detection & Effectiveness

Adobe Systems
San Jose, Austin, Seattle, New York, Chicago
Workplace: HybridFull timeUSD 133,100 - 236,400 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Analytical judgment","Ownership","Independent execution","Data visualization","Storytelling"]

Build and tune production fraud and abuse detection machine learning models, from ground-truth definition through ongoing performance measurement. Create evaluation frameworks, metrics, and dashboards to quantify effectiveness and business impact, including drift and false-positive/false-negative analysis. Pressure-test models for leakage, bias, and data-quality issues, and partner with engineering, product, policy, and risk teams to turn insights into improved detection and decisioning.

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Adobe Systems
Adobe Systems
6 days ago

Senior Data Scientist, ML— Fraud Detection & Effectiveness

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 minutes agoStatus: Live

Job Summary

Build and tune production fraud and abuse detection machine learning models, from ground-truth definition through ongoing performance measurement. Create evaluation frameworks, metrics, and dashboards to quantify effectiveness and business impact, including drift and false-positive/false-negative analysis. Pressure-test models for leakage, bias, and data-quality issues, and partner with engineering, product, policy, and risk teams to turn insights into improved detection and decisioning.
Location: San Jose, Austin, Seattle, New York, Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and tune ML models for fraud and abuse detection using statistical and classical ML techniques.
  • •Develop evaluation frameworks, datasets, and metrics to measure model and mitigation effectiveness.
  • •Analyze false positives/negatives, model drift, and emerging fraud patterns to improve detection.
  • •Define ground truth, labeling approaches, and fraud taxonomies; pressure-test models for leakage, bias, and data-quality issues.
  • •Design experiments and communicate results via dashboards and executive-ready insights in partnership with cross-functional teams.

Pay and Benefits

Salary: USD 133,100 - 236,400 annually

Key Requirements

  • •8+ years of applied data science/ML experience building and evaluating production ML models.
  • •Strong foundation in statistical and classical ML, experimentation, and model evaluation/performance measurement.
  • •Hands-on Python and SQL skills working with large, complex datasets.
  • •Experience with model monitoring, drift, and false-positive/false-negative analysis with imperfect or delayed labels.
  • •Ability to define ground truth/labeling approaches and fraud taxonomies for reliable model development and evaluation.
Experience:8+ yearsFraudRiskIdentityTrust & safety
Skills:Analytical judgmentOwnershipIndependent executionData visualizationStorytelling
Tech Stack:PythonSQLLLMs

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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