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5 дней назад

DS2

140 000 - 170 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
DS2 (Python/Spark): Building graph-based algorithms and data-processing pipelines for identity verification, entity resolution, and fraud detection with an accent on large-scale machine learning, feature engineering, and massive PII datasets. Focus on developing distributed data workflows, evaluating new data sources, and analyzing model performance for compliance products.

Location: Hybrid in San Francisco, Miami, New York, or Seattle; candidates must be located within 45 miles of a talent hub

Salary: $140,000–$170,000 annual base salary, plus equity, benefits, and an annual bonus

Company

hirify.global builds identity trust infrastructure for the digital economy, including real-time identity verification and fraud prevention products.

What you will do

  • Design and implement machine learning, statistical, data-mining, and graph-based algorithms for identity verification and anomaly detection.
  • Develop entity-resolution and identity-matching algorithms for Deceased Monitoring and compliance products.
  • Build and maintain ETL, feature-generation, normalization, and validation pipelines using Spark, PySpark, and AWS.
  • Support feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.
  • Evaluate third-party and internal data sources through data-quality analysis and offline experiments.
  • Provide analytical support to compliance and regulatory teams through investigations, dashboards, and data deep dives.

Requirements

  • Master’s degree with 2+ years of experience, Ph.D. with 1+ years of experience, or equivalent practical experience in data science or analytics.
  • Proficiency in Python or Scala.
  • Strong SQL skills for large datasets and experience with data lake or warehouse environments.
  • Hands-on experience with Spark or PySpark and common machine learning libraries.
  • Familiarity with Unix environments, AWS services such as EMR and S3, supervised and unsupervised machine learning, and basic statistics.
  • Sponsorship is not available; candidates must be located within 45 miles of a talent hub.

Nice to have

  • Experience with TensorFlow, PyTorch, Databricks, graph databases or graph techniques, Elasticsearch, DynamoDB, or Airflow.

Culture & Benefits

  • Fast-paced, cross-functional environment with ownership of well-scoped tasks.
  • Collaboration with Data Science, Engineering, Product, and Client Analysis teams.
  • Compensation includes equity, benefits, and an annual bonus.
  • Inclusive equal-opportunity workplace with accommodations available during the hiring process.

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