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# Data Scientist

- **Company:** Semrush
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Big Data, Software Quality, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Named Entity Recognition, Standard Sql, Search Technologies, Google Cloud, Large Language Models, Gitlab-ci, Production Code, Vertica, Docker, Web Api
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Move together. Raise the bar. Learn fast-grow faster. That's the default. And here's what else is needed to succeed in this role:
Hard Skills:

 + 5+ years of experience as a Data Scientist, Machine Learning Engineer, or in a similar role
 + Strong knowledge of machine learning, statistics, and classical NLP techniques
 + Strong Python and SQL skills
 + Practical experience working with LLMs or LLM-based systems
 + Understanding of how to evaluate model quality using datasets, benchmarks, or experiments
 + Ability to write clean, maintainable, and reliable code
 + Ownership mindset and ability to work with ambiguous product problems
Soft Skills:

 + You care about delivering working solutions, not just experiments
 + You balance execution speed with code quality, reliability, and maintainability
 + You communicate clearly and collaborate well across Data Science, Product, and Engineering, + Experience with RAG, AI agents, or agent-based systems
 + Experience deploying ML or LLM-based solutions in production
 + Experience with GCP, Vertex AI, or GitLab CI
 + Experience with asynchronous Python, high-throughput API calls, or large-scale data processing
 + Experience with monitoring, experiment tracking, or reproducible research practices

## Description

+ Build and improve LLM- and NLP-based systems used in AI Search optimization products
 + Design evaluation frameworks and benchmarks for LLM outputs, prompts, and model behavior
 + Work on brand extraction, domain mapping, entity extraction, and related algorithmic tasks
 + Optimize LLM pipelines for quality, cost, throughput, and reliability
 + Write clean, production-quality Python code
 + Collaborate with Product, Engineering, and other Data Scientists to turn product problems into working technical solutions
Examples of our projects:

 + Brand Extraction and Domain Mapping - extracting brand names, mapping corresponding domains, and other relevant entities from LLM-generated responses
 + LLM quality evaluation and optimization - building benchmarks to evaluate prompt and model quality, while improving throughput, latency, and cost
 + Algorithm development - designing and improving algorithms for product aliases, brand hierarchies, and other domain-specific problems, We are a Data Science team focused on LLM- and NLP-powered products for AI Search optimization. We work on AIO, AI Summarization, Brand Extraction and Domain Mapping, building AI-driven solutions for SEO analysis, entity extraction, and domain understanding.
Our stack:

 + Python
 + Google Cloud Platform
 + ClickHouse, PostgreSQL
 + ClearML, Docker, LangFuse, DVC
 + LLM APIs: OpenAI, Google, Anthropic, Perplexity

About the perks

 + Unlimited PTO
 + Hobby & team building budget allowance
 + Employee Support Program
 + Loss of family member financial aid
 + Employee Resource Groups


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