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Data Analytics Team Lead (AI)

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

Текст:
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TL;DR
Data Analytics Team Lead (Python/SQL): Building data pipelines, metric trees, dashboards, and experimentation frameworks to measure the quality of ML-powered identity document processing with an accent on statistical rigor, labeling quality, and analytical visibility. Focus on evaluating ML models, designing A/B tests, systematizing reporting, and translating data gaps into prioritized engineering requirements.

Location: Serbia

Company

hirify.global builds AI-powered identity verification and security solutions for banks, fintechs, marketplaces, governments, and other enterprises.

What you will do

  • Lead and develop a three-person data analytics team, owning its roadmap, 1:1s, performance reviews, mentoring, and hiring.
  • Write Python and SQL pipelines for data collection, processing, labeling, and analysis.
  • Build an end-to-end metric tree and reporting dashboards for document-processing product quality.
  • Prepare data for ML, evaluate model quality, and benchmark results in collaboration with the ML team.
  • Design, run, and interpret statistically rigorous A/B tests across mobile and server-side products.
  • Identify missing events and data, define actionable requirements for backend and data teams, and turn one-off analyses into repeatable pipelines and reporting cadences.

Requirements

  • Experience leading a team while remaining hands-on with analytics implementation.
  • Strong Python and SQL skills, including experience with columnar or analytical databases.
  • Strong statistics and experimental design skills, including significance, statistical power, and correct result interpretation.
  • Experience with workflow orchestration, data transformation, cloud storage, and experiment tracking; the stack includes Python, S3, Redshift, ClearML, Airflow, and dbt.
  • Excellent communication skills for translating data gaps into prioritized, business-justified requirements.
  • High ownership, autonomy, pragmatism, and the ability to prioritize impact in an evolving environment.

Nice to have

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

Culture & Benefits

  • High-performance culture with freedom and responsibility.
  • Autonomy to test, build, and ship ideas end-to-end.
  • Continuous feedback, development opportunities, and promotions.
  • Flexible working hours and workplace.
  • Open vacation policy.

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