Data Scientist

Oxylabs.io

. Develop and maintain entity resolution techniques to match and link records across sources with inconsistent identifiers .

Posted 9/15/2026full-timeVilnius • LithuaniaMid-LevelSenior💰 €3,500 - €6,800 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining entity resolution techniques, building and evaluating ML and NLP models, and automating data acquisition workflows. Proficient in ensuring data accuracy and reliability while collaborating with stakeholders to drive insights and improvements.

Highest-signal resume keywords

Data ModelingMachine LearningNatural Language ProcessingPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Entity ResolutionML Model DevelopmentData ExtractionData ValidationData Enrichment

Soft Skills

Clear CommunicationAttention to DetailCollaborative MindsetSelf-Driven

Tools & Technologies

SparkDagsterDbtSupersetTrino

Industry Keywords

Data ScienceData AnalysisData EngineeringConcept DriftRevenue Insights

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Develop and maintain entity resolution techniques to match and link records across sources with inconsistent identifiers
Prototype, build, and evaluate LLM and ML-based extraction and inference models that turn unstructured or free-text data into structured outputs
Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition workflows
Build, iterate on, and monitor applied ML models to proactively identify data or concept drift
Enrich and enhance datasets with product-ready calculated fields and derived metrics
Assist in building automated or ad-hoc QA validation processes to validate model output accuracy, reliability, and consistency
Take ownership of the applied ML backlog, including entity resolution, LLM-based structured extraction, and topic modeling
Turn unstructured data into structured, product-ready outputs and ensure data accuracy and reliability at scale

Requirements

What you’ll need

4+ years of previous experience as a Data Scientist, Data Analyst, or Data Engineer, with a strong background in data modeling, ML, and NLP
Excellent programming skills in Python
Proficiency in SQL
Hands-on experience with Spark
Deep, structural thinking with the ability to communicate clearly and align with various stakeholders
Collaborative, self-driven mindset with keen attention to detail and a propensity to dig into deeper layers to inspire improvements
Experience with Dagster, dbt, Superset, or Trino (nice to have)
Previous experience working closely in a team with data engineers (nice to have)
Strong business acumen and understanding of how insights convert to value and unlock new revenue (nice to have)
Excellent written and spoken English (nice to have)

Benefits

Comp & perks

40+ internal learning options
External conferences
Mentorship
Year-round knowledge-sharing
Private health insurance
Psychotherapy
On-site well-being consultants
24/7 gym access
Wellness app
Team events
Overseas workation
Quarterly team-building budgets
Milestone celebrations