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Data Analytics Team Lead

Incode TechnologiesSerbiaMachine Learning
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Salary
Not listed
Job type
Full-time
Posted
17 Jul 2026
Status
Open · checked 7d ago

About this role

Incode Technologies is seeking a Data Analytics Team Lead based in Serbia to head the analytics function within the Document Intelligence division. This hands-on leadership role suits an experienced, entrepreneurial professional who enjoys managing a high-performing team while actively building data pipelines and metrics.

Role Overview

Operating within the Document Intelligence team, this position focuses on parsing global identity documents such as passports and driver's licenses for major enterprises. The selected candidate will act as a player-coach, balancing formal management duties like mentorship and hiring with daily technical execution, including writing queries and building pipelines. The goal is to make product quality measurable and drive data-backed decisions across machine learning and engineering initiatives.

Key Responsibilities

Manage and develop a small analytics team through 1:1s, performance reviews, and roadmap ownership.
Write Python and SQL pipelines for data processing, collection, and labeling while executing hands-on analysis.
Build out end-to-end metric trees to measure product quality across the document-processing pipeline.
Create clear reporting dashboards to translate raw data signals into actionable insights for leadership and product teams.
Lead machine learning quality evaluation, model assessment, and data preparation in cooperation with the machine learning group.
Design, execute, and evaluate statistical A/B tests on mobile and server sides.
Monitor data and labeling accuracy while establishing quality control mechanisms.
Collaborate with backend and data teams by specifying missing events and justifying feature prioritization.

Requirements

Proven team leadership experience combined with a willingness to stay hands-on with technical execution.
Advanced proficiency in Python with a focus on writing clean, maintainable code.
Strong SQL skills and experience utilizing columnar or analytical databases.
Deep understanding of statistics, experimental design, and ability to interpret test results correctly.
Familiarity with modern data tooling such as workflow orchestration, data transformation, cloud storage, and experiment tracking.
Clear communication skills to bridge gaps between technical execution and business justifications.
High degree of autonomy, pragmatism, and ownership in a rapidly scaling environment.

Nice to Have

Prior experience working on machine learning-centered products, evaluating model quality, and collaborating with ML professionals.
Familiarity with data labeling workflows and quality assurance methods.
Domain knowledge related to optical character recognition, identity documents, or computer vision pipelines.

Skills and Tools

Python
SQL
Airflow
dbt
Redshift
S3
ClearML
Statistical experimental design
Data pipeline orchestration

About the Company

Incode Technologies is a Series B unicorn organization specializing in identity verification and authentication solutions. Recognized as a leader in the industry, the company serves prominent global clients including banks, marketplaces, fintechs, and governments to prevent fraud and maintain privacy. The workplace culture emphasizes high performance, freedom with responsibility, context over control, continuous feedback, and professional development.

How to Apply

Interested candidates should submit their application directly through the official Incode Technologies careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is located in Serbia.

Is this a remote position?

No, the job posting does not indicate that the role is remote.

What department does this role belong to?

The role sits within the Machine Learning department, specifically on the Document Intelligence team.

What type of technical stack is used?

The technology stack includes Python, S3, Redshift, ClearML, Airflow, and dbt.

Is this role purely managerial?

No, it is a player-coach role that requires both managing team members and personally writing pipelines, queries, and analyses.

Ready to apply?

The application is on the official Incode Technologies careers page.

Apply on company site