[Hiring] Senior Data Scientist @Semrush

Role Description

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.

Qualifications

• Bachelor’s degree is required or equivalent practical experience.
• 5+ years of experience as a DS / MLE.
• Strong understanding of the principles of machine learning algorithms, probability theory, statistics, linear algebra.
• High proficiency in Python and ML stack.
• Hands-on experience working with LLMs.
• Knowledge of SQL.

Requirements

• Experience deploying and maintaining LLM-based solutions in production (not required, but a plus).
• Practical knowledge of RAG and building AI agents (not required, but a plus).
• Experience with GitLab CI (not required, but a plus).
• Experience with GCP and Vertex AI (not required, but a plus).
• Experience in developing ETL processes with Airflow (not required, but a plus).
• Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager) (not required, but a plus).
• Reproducible research (not required, but a plus).

Soft Skills

• Strong sense of delivery ownership, balancing execution speed with engineering standards and quality requirements.
• Proven ability to ship reliable, maintainable code under tight timelines without compromising technical quality.
• Track record of driving alignment and close collaboration across cross-functional teams.

About the Team

We are a data science team responsible for supporting teams working in the SEO and AI SEO domains. We create internal services using machine learning, based on which other teams implement new features. Our team includes:

• 1 Data Science Manager
• 4 Data Scientists
• 2 ML Engineers
• We are looking for an additional Senior Data Scientist to join our team.

Our Stack

• Google Cloud Platform
• Data Storage: ClickHouse
• Language: Python
• Tools: Airflow, k8s, Docker, Catboost, Pandas
• LLM APIs: OpenAI, Google, Anthropic

Examples of Our Projects

• Keyword Search Volumes - a metric that shows how many times people search a specific keyword in search engines.
• AI Topic Volume & Traffic - evaluating the popularity of topics in the AI search engine platforms.
• Keyword Search Intent - goals that users pursue when they make a request in a search engine.

Benefits

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