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19 часов назад

Data Analytics Team Lead

Формат работы
remote (только Serbia)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Analytics Team Lead: Leading and growing the analytics team while personally building data pipelines and metrics to measure document processing quality with an accent on statistical rigor and ML-driven product insights. Focus on closing coverage gaps, designing A/B tests, and bridging the gap between raw data and actionable business requirements.

Location: Must be based in Serbia (Hybrid/Remote)

Company

hirify.global is a Series B unicorn providing AI-powered identity verification solutions for global banks, fintechs, and marketplaces.

What you will do

  • Manage and mentor a high-impact analytics team, owning the roadmap and hiring.
  • Write SQL and Python pipelines for data collection, processing, and labeling.
  • Build an end-to-end metric tree to measure product quality across document-processing pipelines.
  • Create dashboards and reporting to surface insights for ML, product, and leadership teams.
  • Design, run, and interpret A/B tests with genuine statistical rigor.
  • Collaborate with engineering to define data requirements and prioritize tasks.

Requirements

  • Must be based in Serbia.
  • Proven team leadership experience with a hands-on approach.
  • Strong proficiency in Python and SQL.
  • Solid experience with experimental design, A/B testing, and statistical analysis.
  • Experience with modern data tooling (e.g., workflow orchestration, cloud storage, dbt).
  • Excellent communication skills to translate data gaps into business-justified requirements.

Nice to have

  • Experience with ML-centered products and model quality assessment.
  • Familiarity with data labeling processes and quality maintenance.
  • Domain exposure to identity documents, OCR, or computer-vision pipelines.

Culture & Benefits

  • Flexible working hours and workplace policy.
  • Open vacation policy.
  • Opportunity to work with elite teams on cutting-edge AI technology.
  • High-growth environment with significant autonomy and ownership.

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