Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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 real-time risk signals. Focus on designing scalable ML pipelines, solving complex adversarial challenges, and driving model robustness in a production environment.
Location: Hybrid - San Francisco, CA; New York, NY; or Seattle, WA
Salary: $191,000 – $230,000
Company
is a leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power accurate identity trust decisions.
What you will do
- Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention.
- Develop scalable data pipelines and production ML workflows using structured and unstructured telemetry data.
- Investigate high-complexity signals such as emulator use, spoofing, and low-entropy fingerprints.
- Translate ambiguous business problems into modeling approaches using supervised, unsupervised, and heuristic techniques.
- Partner with engineering, product, and risk teams to contribute to data architecture and signal collection strategies.
- Drive experimental design, A/B testing, and validation techniques to ensure model generalizability.
Requirements
- 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 extensive 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.
- Proven track record of deploying and maintaining ML models in live systems.
Nice to have
- Background in fraud detection, behavioral biometrics, or adversarial modeling.
- Experience with high-cardinality feature engineering techniques.
- Knowledge of browser/mobile fingerprinting or VPN/proxy detection.
- Familiarity with privacy-preserving or robust ML techniques.
Culture & Benefits
- Competitive compensation package including base salary, equity, and annual bonus.
- Collaborative and inclusive work environment focused on growth and learning.
- Opportunities for career progression into staff-level or technical leadership roles.
- Impactful work in a high-growth industry solving complex identity trust problems.
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