Data Scientist

About the role

Join a fast‑growing data team that powers large‑scale web scraping and proxy solutions for Fortune 500 clients. You will turn massive unstructured data sets into reliable, product‑ready outputs while shaping the future of our data platform.

Key responsibilities

• Develop and maintain entity‑resolution techniques to match records across heterogeneous sources.
• Prototype, build, and evaluate LLM‑based and traditional ML extraction models for structured output.
• Automate scraping logic and source‑queue generation using data‑driven models.
• Monitor applied ML models for data or concept drift and iterate on improvements.
• Enrich datasets with calculated fields, derived metrics, and automated QA validation processes.

Required profile

• 4+ years of experience as a Data Scientist, Data Analyst or Data Engineer.
• Strong background in data modeling, machine learning and NLP.
• Excellent Python programming, solid SQL skills and hands‑on experience with Spark.
• Ability to communicate complex ideas clearly to diverse stakeholders.

Required skills

• Python
• SQL
• Apache Spark
• Dagster (nice to have)
• dbt (nice to have)
• Superset (nice to have)
• Trino (nice to have)

What we offer

• Gross salary 4000‑6500 EUR per month (flexible based on experience).
• 40+ internal learning options, external conferences, mentorship and knowledge‑sharing.
• Private health insurance, psychotherapy, 24/7 gym access and wellness app.
• Team events, overseas workation, quarterly team‑building budget and extra days off.
• Hybrid work model (3 office days / 2 remote) with flexible WFA options.