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2 часа назад

Senior Data Scientist (AI)

191 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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