1 day ago

Expert Data Scientist – Ad Fraud & Attribution

bol

Utrecht

1 day ago

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Expert Data Scientist needed for ad fraud detection and attribution modeling at a retail company in Utrecht. Requires expertise in statistics, econometrics, machine learning, and SQL/BigQuery. Hybrid role.

AIHybridFull-timeSeniorSQLBigQuery

Expert Data Scientist – Ad Fraud & Attribution

Apply

AIHybridFull-timeSeniorSQL

Salary

Not specified

Work Location

Utrecht, Utrecht, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Expert

Core Qualifications

Technical (Must-have)

SQLBigQueryMachine LearningStatisticsEconometricsAnomaly DetectionFraud DetectionAttribution ModelingPythonML frameworks

Soft Skills

Analytical thinkingProblem solvingCommunicationCross-team collaborationInfluenceIndependenceCuriosity

Key Responsibilities

•Analyze platform traffic with SQL/BigQuery to uncover emerging fraud patterns
•Validate suspicious signals, estimate false positives, and measure economic impact
•Build statistical and ML-based fraud detection models
•Develop adaptive anomaly detection systems
•Investigate attack surfaces, bot behavior, and suspicious cohorts
•Improve attribution logic using statistical and econometric methods
•Model and correct biases in attribution pipelines
•Communicate insights clearly to product, engineering, and leadership
•Proactively reach out across the organization to close analytical gaps
•Drive methodological improvements across fraud, attribution and adjacent analytical domains
•Lead AI-focused experimentation and tackle ambiguous problems requiring AI-native thinking
•Improve DS tooling and processes across teams and introduce new methods where needed

Data ScienceFraud DetectionAttributionStatisticsEconometricsMachine LearningSQLBigQueryHybridUtrecht

Key Responsibilities

•Analyze platform traffic with SQL/BigQuery to uncover emerging fraud patterns

•Validate suspicious signals, estimate false positives, and measure economic impact

•Build statistical and ML-based fraud detection models

•Develop adaptive anomaly detection systems

•Investigate attack surfaces, bot behavior, and suspicious cohorts

•Improve attribution logic using statistical and econometric methods

•Model and correct biases in attribution pipelines

•Communicate insights clearly to product, engineering, and leadership

•Proactively reach out across the organization to close analytical gaps

•Drive methodological improvements across fraud, attribution and adjacent analytical domains

•Lead AI-focused experimentation and tackle ambiguous problems requiring AI-native thinking

•Improve DS tooling and processes across teams and introduce new methods where needed