Senior Data Scientist (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Data Scientist (AI): Developing machine learning features and models for device identification and fraud prevention with an accent on high-volume telemetry data and behavioral intelligence. Focus on designing scalable production ML workflows, solving complex adversarial fraud challenges, and ensuring model robustness in real-time environments.
Location: Must be based in the United States
Salary: $150,000 – $185,000
Company
provides identity trust infrastructure and fraud prevention solutions for the digital economy using advanced AI and machine learning.
What you will do
- Design and deploy machine learning systems for device identification and anomaly detection.
- Develop scalable data pipelines and production workflows using structured and unstructured telemetry.
- Investigate high-complexity fraud signals such as emulator use and spoofing.
- Translate ambiguous business problems into effective modeling approaches.
- Partner with engineering and product teams to drive data architecture and signal collection decisions.
- Implement experimental design and A/B testing frameworks to validate model performance.
Requirements
- Must be based in the United States
- Master’s degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 6+ years of experience in data science or applied machine learning in production environments.
- Excellent SQL skills and experience with large-scale databases.
- Proficiency in Python and distributed computing tools like Spark or PySpark.
- Hands-on experience with ML frameworks such as scikit-learn, XGBoost, or TensorFlow.
Nice to have
- Background in fraud detection, behavioral biometrics, or adversarial modeling.
- Experience with high-cardinality feature engineering and embeddings.
- Familiarity with browser/mobile fingerprinting and telemetry signal processing.
Culture & Benefits
- Collaborative and inclusive work environment.
- Opportunities for growth into staff-level or technical leadership roles.
- Equity and bonus compensation components included.
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