---
title: 'Data Scientist at Oxylabs'
canonical: 'https://feeny.ai/job/data-scientist-oxylabs-vilnius-x45t8ypg6b2b'
type: 'job'
last_seen: '2026-09-17'
---

# Data Scientist at Oxylabs

- **Company:** Oxylabs
- **Location:** Vilnius, Lithuania
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-15
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.lever.co/oxylabs/5900d001-4137-48e5-b683-b10acbca84df

## Job description

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.

In this role, you will:

- 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.

## Your skills & experiences

- 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, and hands-on experience with Spark.
- Deep, structural thinking with the ability to communicate clearly and align with various stakeholders.
- A collaborative, self-driven mindset with a keen attention to detail and a propensity to dig into deeper layers to inspire improvements.

Nice to Have:

- Experience with Dagster, dbt, Superset, or Trino.
- Previous experience working closely in a team with data engineers.
- Strong business acumen and an understanding of how insights convert to value and unlock new revenue.
- Excellent written and spoken English.

Tech stack:

- SQL,
- Python,
- Spark,
- Dagster,
- dbt,
- Superset,
- Trino.

Salary & Benefits:

- Gross salary: 3500 - 6800 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
- Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
- Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.

Up for the challenge? Let’s talk!

Up for the challenge? Let’s talk!

## About Oxylabs

## Company Overview
- **One-liner**: Oxylabs provides web scraping and proxy solutions that enable companies worldwide to collect public web data at scale and turn it into actionable insights.
- **Entity Type**: Private (Unicorn – valuation of $3.6B as of 2026)
- **Headquarters**: Vilnius, Lithuania
- **Founded**: 2015
- **Founders**: Not publicly disclosed

## Core Business
- **Primary industry**: Web data gathering infrastructure (proxy networks, scraping APIs, datasets)
- **Target customers**: B2B – large enterprises, e‑commerce companies, market researchers, and any organisation needing public web data at scale
- **Mission**: “We help companies worldwide gather web data at scale and turn it into actionable insights.” [oxylabs.io/about-us](https://oxylabs.io/about-us)

## Products & Services
- **[Web Scraper API](https://oxylabs.io)**: SaaS product that handles billions of requests to scrape public web data for clients, built with Python and a massive data infrastructure.
- **[Proxies](https://oxylabs.io)**: Residential, datacenter, and other proxy types providing a global network of hundreds of servers for anonymous and reliable data collection.
- **[Datasets](https://oxylabs.io)**: Ready‑to‑use or custom‑tailored, ethically sourced datasets to fuel business insights.
- **[OxyCopilot](https://oxylabs.io/about-us)**: AI‑powered scraping assistant (launched 2024) that automatically generates request code and parsing instructions.
- **[AI Studio](https://oxylabs.io/about-us)**: No‑code, prompt‑based platform (released 2025) that simplifies web data collection.

## Market Standing
- **Valuation**: $3.6B as of 2026 – the 6th unicorn from Lithuania [career.oxylabs.io](https://career.oxylabs.io/)
- **Key Metric**: Total funding not publicly disclosed; annual revenue not publicly available.
- **Notable Investors/Partners**: Not listed in available sources. In 2023 Oxylabs acquired **Webshare**, a Silicon‑Valley‑based self‑service proxy platform.
- **Growth Signals**:
  - 500+ employees [career.oxylabs.io](https://career.oxylabs.io/)
  - 15,000+ clients worldwide [oxylabs.io/about-us](https://oxylabs.io/about-us)
  - 160+ tech patents in portfolio [oxylabs.io/about-us](https://oxylabs.io/about-us)
  - 177M+ ethically gathered proxies [oxylabs.io/about-us](https://oxylabs.io/about-us)
  - Recent launches of AI‑powered products (OxyCopilot, AI Studio) indicate continued innovation.

## Competitive Advantages
- **Ethical procurement process**: Every IP address in the proxy network comes from informed, consenting users who receive value in exchange for sharing their traffic.
- **Compliance first**: Services are compliant with GDPR, CCPA, and other global data‑protection laws; ISO/IEC 27001:2022 certified.
- **Industry leadership**: Founding member of the Ethical Web Data Collection Initiative, helping shape global best practices.
- **Technology moat**: 160+ patents and a large‑scale infrastructure that handles billions of requests.
- **Insurance**: Technology Errors & Omissions (E&O) and Cyber insurance cover all products.

## Strategic Focus
- Deepening AI‑driven automation in web data collection (e.g., OxyCopilot, AI Studio).
- Expanding self‑service proxy access through the Webshare acquisition to reach a broader customer base.
- Maintaining and strengthening ethical and compliant data‑gathering practices as regulatory landscapes evolve.

## Why Work Here
- **Hybrid & flexible work**: 3 office days / 2 WFH, plus Work‑From‑Anywhere (WFA) options [career.oxylabs.io/life](https://career.oxylabs.io/life/)
- **Perks & benefits**: Private health insurance, 24/7 gym, physical well‑being specialists, psychologist/psychotherapist sessions, inclusive family‑related time‑off policy, extra days off [career.oxylabs.io](https://career.oxylabs.io/)
- **Office environment**: Cyber City office with modern amenities and latest tools, gadgets, and tech stack.
- **Learning & community**: Vast internal and external learning resources, guilds, communities of 500+ professionals, and access to the Tesonet network for knowledge sharing [career.oxylabs.io](https://career.oxylabs.io/)
- **Engineering culture**: Teams work with Python, Node.js, and cutting‑edge infrastructure; engineers tackle large‑scale data challenges [career.oxylabs.io/technology](https://career.oxylabs.io/technology/)

## Sources
1. [career.oxylabs.io](https://career.oxylabs.io/) – Company overview, benefits, valuation, headcount
2. [oxylabs.io/about-us](https://oxylabs.io/about-us) – Mission, products, patents, clients, ethics, compliance
3. [career.oxylabs.io/life](https://career.oxylabs.io/life/) – Benefits, hybrid policy, culture
4. [career.oxylabs.io/teams](https://career.oxylabs.io/teams/) – Team structure, open roles
5. [career.oxylabs.io/technology](https://career.oxylabs.io/technology/) – Tech stack, products, engineering challenges

## Other roles at Oxylabs

- [Account Manager](https://feeny.ai/job/account-manager-oxylabs-vilnius-ssngwmk36cdc) — Vilnius, Lithuania
- [Head of Marketing](https://feeny.ai/job/head-of-marketing-oxylabs-vilnius-zmn02st32nbm) — Vilnius, Lithuania
- [Commercial Product Owner](https://feeny.ai/job/commercial-product-owner-oxylabs-kaunas-8mt6rr13cfwa) — Kaunas, Lithuania
- [Commercial Product Owner](https://feeny.ai/job/commercial-product-owner-oxylabs-vilnius-whabmmdzx2z0) — Vilnius, Lithuania
- [Experienced Web Scraping Engineer - Python (Remote)](https://feeny.ai/job/experienced-web-scraping-engineer-python-remote-oxylabs-warsaw-5nsjh5xgyt01) — Warsaw, Poland
- [Risk Manager](https://feeny.ai/job/risk-manager-oxylabs-vilnius-24nvhkama34g) — Vilnius, Lithuania
- [Data Engineer](https://feeny.ai/job/data-engineer-oxylabs-vilnius-zaj01zcyf0kq) — Vilnius, Lithuania
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-oxylabs-vilnius-sdpkj840q3kn) — Vilnius, Lithuania
- [Browser Patching Engineer (Remote)](https://feeny.ai/job/browser-patching-engineer-remote-oxylabs-warsaw-7b315cgx9fjb) — Warsaw, Poland
- [AI Engineer](https://feeny.ai/job/ai-engineer-oxylabs-vilnius-wfjy3fkvsjf0) — Vilnius, Lithuania