20 дней назад
Data Scientist (ML/NLP)
3 500 - 6 800€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (ML/NLP) (Web Data Platform): Developing entity resolution, LLM-based extraction, topic modeling, and applied ML models that turn unstructured web data into accurate, product-ready structured outputs with an accent on Python, SQL, Spark, and scalable data workflows. Focus on matching inconsistent records, detecting data drift, automating source acquisition, and validating model reliability across petabyte-scale datasets.
Location: Vilnius, Lithuania; hybrid work
Salary: €3,500–€6,800 gross per month, with flexibility based on skills and competencies.
Company
develops proxy and web data scraping solutions and data products for businesses worldwide, including Fortune 500 companies.
What you will do
- Develop and maintain entity resolution techniques for matching records across sources with inconsistent identifiers.
- Prototype, build, and evaluate LLM- and ML-based extraction and inference models for converting unstructured data into structured outputs.
- Automate scraping logic and source queue generation to scale source acquisition and ingestion workflows.
- Build, iterate on, and monitor applied ML models to detect data and concept drift.
- Enrich datasets with product-ready calculated fields and derived metrics.
- Build automated and ad-hoc QA validation processes for model accuracy, reliability, and consistency.
Requirements
- 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 skills, proficiency in SQL, and hands-on Spark experience.
- Strong analytical and structural thinking, clear communication, collaboration, self-direction, and attention to detail.
Nice to have
- Experience with Dagster, dbt, Superset, or Trino.
- Experience working closely with data engineers.
- Strong business acumen and understanding of how insights create value and revenue.
- Excellent written and spoken English.
Culture & Benefits
- Work with a team of 500+ professionals and a strong engineering and data community.
- Access to 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
- Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Team events, an overseas workation, quarterly team-building budgets, and milestone celebrations.
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