Senior Data Scientist - AI-Driven Brand & SEO Analytics

Semrush Inc.; Málaga; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Unlimited PTO

Hobby & team building budget allowance

Employee Support Program

Loss of family member financial aid

Employee Resource Groups

Job summary

Semrush is seeking a data-focused software engineer to develop new data-intensive features for Brand Performance and the upcoming SEO/ASO tracking product. You will work with backend engineers and product teams to turn research into production-ready solutions, improving data quality and enabling scalable analytics.

Ideal candidates have hands-on experience with SQL and analytical data, prompt engineering and LLM workflows, and familiarity with ClickHouse, CI/CD, Helm, and Temporal.

Qualifications

• Experience with SQL and analytical data.
• Experience with prompt engineering and LLM-based workflows.
• Ability to reason about data quality, metrics, and product impact.
• Ability to work independently in an ambiguous, fast-changing product area.
• Experience with ClickHouse.
• Experience with CI/CD.
• Experience with Helm.
• Experience with Temporal.

Responsibilities

• Develop new data-intensive functionality for Brand Performance and the future unified SEO/ASO tracking product.
• Improve data quality issues to ensure product competitiveness.
• Participate in team research, technical events, and cross-team projects.
• Work closely with backend engineers and product to turn research into production-ready solutions.

Skills

SQL & analytics

Prompt engineering

Data quality

LLM workflows

Independent work

CI/CD

ClickHouse

Helm

Temporal

Tools

ClickHouse

CI/CD

Helm

Temporal

Job description

Semrush is seeking a data-focused software engineer to develop new data-intensive features for Brand Performance and the upcoming SEO/ASO tracking product. You will work with backend engineers and product teams to turn research into production-ready solutions, improving data quality and enabling scalable analytics.

Ideal candidates have hands-on experience with SQL and analytical data, prompt engineering and LLM workflows, and familiarity with ClickHouse, CI/CD, Helm, and Temporal.