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5 дней назад

Engineering Team Lead (Data Science)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Team Lead (Data Science) (SaaS/Fraud Detection): Leading the design, implementation, and deployment of scalable data infrastructure for SaaS products serving fraud detection, identity, and transaction monitoring use cases with an accent on security, scalability, and data quality. Focus on managing technical backlogs, mitigating platform risks, guiding engineers, and collaborating across data science, research, and security teams.

Location: Hybrid role based in Tel Aviv-Yafo, Gush Dan, Israel

Company

hirify.global provides a SaaS platform combining customer identity management, identity verification, and fraud prevention for large consumer-facing businesses.

What you will do

  • Lead a Detection and Response Engineering team in designing and deploying scalable data infrastructure.
  • Guide the development of products including fraud detection, agentic visibility, transaction monitoring, and identity protection capabilities.
  • Collaborate with Data Science, Research, Security, and other cross-functional teams on business needs and security standards.
  • Manage the technical backlog, product milestones, and secure, high-quality deployments.
  • Identify and mitigate security risks across the data platform.
  • Define methodologies for infrastructure performance, scalability, and quality while mentoring team members.

Requirements

  • 5+ years of software engineering experience, including at least 2 years in a leadership role.
  • Experience leading data-science engineering teams.
  • Proficiency in Node, Python, Java, Scala, or Go.
  • Familiarity with PostgreSQL, Redis, and Kubernetes.
  • Strong leadership, backlog management, cross-functional collaboration, and technical decision-making skills.
  • Experience managing security risks and delivering scalable, high-quality, compliant systems in a fast-paced production environment.

Nice to have

  • Bachelor’s degree in Computer Science or a related field.
  • Knowledge of distributed computing platforms such as Flink, Spark, or Beam.
  • Experience with microservices, Kafka, Airflow, MLOps, and CI/CD.
  • Background in identity management, risk assessment, or fraud detection.
  • Experience with AWS, GCP, or Azure.

Culture & Benefits

  • Work in a dynamic, fast-paced production environment.
  • Contribute to products affecting millions of users worldwide.
  • Support team growth through mentorship, personal development, and continuous improvement.

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