Senior Data Scientist — AI/ML for SEO Growth

Semrush Development, S.L.U.; España; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Unlimited PTO

Team budget for hobby/teambuilding

Employee Support Program

Loss of family member financial aid

Employee Resource Groups

Job summary

Semrush Development, S.L.U. is seeking a Senior Data Scientist to join our data science team.

You will shape product-directed ML solutions, experiment with new data sources, and collaborate with data engineers and product teams to push the boundaries of AI-driven SEO and content insights. The role requires 5+ years in DS/MLE, strong Python and ML stack skills, and hands-on experience with LLMs and production deployments.

Qualifications

• 5+ years of experience as a DS / MLE.
• Strong understanding of ML algorithms, probability theory, statistics, and linear algebra.
• High proficiency in Python and ML stack.
• Hands-on experience with LLMs.
• Knowledge of SQL.
• Experience deploying and maintaining LLM-based solutions in production is a plus.
• Practical knowledge of RAG and building AI agents.
• Experience with GitLab CI.
• Experience with GCP and Vertex AI.
• Experience in developing ETL processes with Airflow.
• Experience deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager).
• Reproducible research.

Responsibilities

• Work on new directions and solutions for the market.
• Look for ways to improve existing algorithms.
• Introduce and experiment with new data sources.
• Collaborate with data engineers and product teams.

Skills

Python

Machine learning

SQL

LLMs

GCP

Vertex AI

Airflow

ETL

GitLab CI

Docker

Pandas

Reproducible research

Education

Bachelor’s degree or equivalent

Tools

ClickHouse

Kubernetes

Catboost

OpenAI API

Google Cloud Platform

Pandas

Grafana

Prometheus

Alertmanager

Job description

Semrush Development, S.L.U. is seeking a Senior Data Scientist to join our data science team.

You will shape product-directed ML solutions, experiment with new data sources, and collaborate with data engineers and product teams to push the boundaries of AI-driven SEO and content insights. The role requires 5+ years in DS/MLE, strong Python and ML stack skills, and hands-on experience with LLMs and production deployments.