Senior Data Scientist (Sugar Team)

semrush; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible paid time off

Hobby and team-building allowance

Employee support program

Financial assistance following theloss

Employee resource groups

Job summary

Semrush is seeking a data science / machine learning engineer to develop ML approaches and services that support search optimization and AI-powered search. You will explore new data sources, improve algorithms, and collaborate with data engineering and product partners to turn research into useful capabilities.

The team builds internal ML services that other groups use to deliver product features, emphasizing reliable code, timely delivery, and cross-functional alignment across teams.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Five+ years of experience in data science or ML engineering.
• Strong understanding of ML, probability, statistics, and linear algebra.
• High proficiency in Python and ML tools/libraries.
• Hands-on experience with large language models.
• Knowledge of SQL.
• Ability to deliver dependable code under time constraints while collaborating across functions.

Responsibilities

• Investigate new problem areas and develop data science solutions for product needs.
• Improve existing algorithms and evaluate potential new data sources.
• Collaborate with data engineers and product teams to shape and deliver solutions.
• Apply ML and statistical methods to data-driven projects.
• Contribute maintainable, reliable code and own delivery quality.
• Help align cross-functional partners on technical direction and project execution.

Skills

Python

Machine Learning

LLMs

SQL

Statistics

Linear Algebra

Data Science

Collaboration

Education

Bachelor's degree

Tools

GitLab CI

Vertex AI

Airflow

Grafana

Prometheus

Alertmanager

Job description

Role overview

Develop machine learning approaches and services that support products and teams working in search optimization and AI-powered search. You will explore new data sources and market opportunities, improve existing algorithms, and collaborate with data engineering and product partners to turn research into useful capabilities. The team builds internal machine learning services that other groups use to deliver product features.

Responsibilities

• Investigate new problem areas and develop data science solutions for emerging product needs.
• Improve existing algorithms and evaluate potential new data sources.
• Work closely with data engineers and product teams to shape and deliver solutions.
• Apply machine learning and statistical methods to data-driven projects.
• Contribute maintainable, reliable code and take ownership of delivery quality.
• Help align cross-functional partners on technical direction and project execution.

Requirements

• Bachelor’s degree or equivalent practical experience.
• At least five years of experience in data science or machine learning engineering.
• Strong understanding of machine learning, probability, statistics, and linear algebra.
• High proficiency in Python and machine learning tools and libraries.
• Hands-on experience working with large language models.
• Knowledge of SQL.
• Ability to deliver dependable code under time constraints while maintaining engineering quality, and to collaborate across functions.

Nice to have

• Experience deploying and maintaining LLM-based systems, retrieval-augmented generation, or AI agents.
• Familiarity with GitLab CI, Google Cloud Platform or Vertex AI, and Airflow-based ETL.
• Experience deploying and monitoring batch or real-time machine learning systems, including tools such as Grafana, Prometheus, or Alertmanager.
• Practice producing reproducible research.

Benefits and work setup

Listed perks include flexible paid time off, a hobby and team-building allowance, an employee support program, financial assistance following the loss of a family member, and employee resource groups.