- Oxylabs
- Vilnius, VL
- Full-Time
- <72 Hours
Data Scientist.
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Data Scientist: our view in 3 lines...
- The Role:This role is for a Data Scientist focused on applied machine learning for structured extraction and data quality at scale.
- The Person:The person will own applied ML work including entity resolution, LLM and ML-based extraction models, scraping logic automation, model monitoring, dataset enrichment, and QA validation processes.
- Requirements:The role requires 4+ years of experience, strong background in data modeling, ML, and NLP, plus excellent programming skills in Python, proficiency in SQL, and hands-on experience with Spark.
About the role
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
The team waiting for you:
Our Engineering team manages a powerful data platform that has unlocked a growing backlog of applied ML work. As a Data Scientist, you will take dedicated ownership of this backlog, driving initiatives like entity resolution, LLM-based structured extraction, and topic modeling. We are rapidly scaling our source acquisition and ingestion workflows, making this the perfect time to join and shape our capabilities. By turning unstructured data into structured, product-ready outputs, you will solve the core challenge of ensuring data accuracy and reliability at scale.
Up for the challenge? Let’s talk!
