Data Analytics Team Lead

Location: Serbia

Company

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

What you will do

• Lead and grow the analytics team, owning its roadmap, 1:1s, performance reviews, analyst development, and hiring participation.
• Write Python and SQL pipelines for data collection, processing, labeling, and analysis.
• Build an end-to-end metric tree, reporting, and dashboards for document-processing product quality.
• Drive ML data preparation, model quality evaluation, benchmarking, and collaboration with the ML team.
• Design, run, and interpret statistically rigorous A/B tests across mobile and server-side products.
• Improve data and labeling quality, identify missing events or data, and create prioritized requirements for backend and data teams.

Requirements

• Team leadership experience combined with a willingness to remain hands-on.
• Strong Python skills and the ability to write clean, maintainable, well-structured code.
• Strong SQL skills and experience with columnar or analytical databases.
• Strong statistics and experimental-design skills, including A/B testing, significance, statistical power, and result interpretation.
• Experience with modern data tooling such as workflow orchestration, data transformation, cloud storage, and experiment tracking; the stated stack includes Python, S3, Redshift, ClearML, Airflow, and dbt, with equivalent tools accepted.
• Excellent communication skills for translating data gaps into prioritized, business-justified requirements and collaborating with engineers and stakeholders.
• High ownership, autonomy, and pragmatism in an evolving environment.

Nice to have

• Experience with ML-centered products, model-quality evaluation, and ML teams.
• Ability to run existing models and build simple models for data filtering; training production models is not expected.
• Familiarity with data-labeling processes and quality estimation or maintenance.
• Experience with identity documents, OCR, or computer-vision pipelines.

Culture & Benefits

• High-performance culture with freedom, responsibility, context rather than control, and highly aligned, loosely coupled teams.
• Continuous feedback, promotion, and development opportunities.
• Flexible working hours and workplace.
• Open vacation policy.
• Work on AI-powered identity technology with global impact and ownership across the product lifecycle.