Data Scientist

• 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

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, + Hands-on experience with LLM PEFT (Parameter-Efficient Fine-Tuning) methods

• 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