Senior Data Scientist (Sugar Team)

Semrush; Vitoria; Presencial; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Semrush, a leading tech firm, seeks a Senior Data Scientist for their Sugar Team. Your role will involve exciting projects related to keyword analysis and implementation of ML services. Join a vibrant team dedicated to driving online visibility for users worldwide. Enjoy a culture of constant growth and support.

Servicios

Unlimited PTO

Flexi Benefit for hobbies

Employee Support Program

Family member financial aid

Employee Resource Groups

Meals, snacks, drinks at the office

Teambuilding, training, courses, conferences

Gifts for employees

Formación

• 3+ years of experience as a Data Scientist or Machine Learning Engineer.
• Hands-on experience with LLMs and deployment of ML systems.
• Experience in developing ETL processes and real-time monitoring.

Responsabilidades

• Implement projects involving keyword search volumes and search intents.
• Collaborate within a data science team to develop internal ML services.
• Contribute to the deployment and maintenance of ML systems in production.

Conocimientos

Machine Learning

Probability

Statistics

Linear Algebra

Python

SQL

Deployment of LLM-based solutions

ETL Processes

Herramientas

Airflow

GCP

GitLab CI

Grafana

Prometheus

ClickHouse

CloudSQL

Descripción del empleo

Hi there!

We are Semrush, a global tech company developing our own product – a platform for digital marketers.

Are you ready to be part of it? This is your chance! We’re hiring for a Senior Data Scientist (Sugar Team).

Tasks in the role

These are some examples of projects / tasks that the DS Team has implemented:

• Keyword search volumes: A metric that shows how many times people search a specific keyword in search engines.
• Personal keyword difficulty: A personalized evaluation of how difficult it is to promote a specific domain for a particular keyword.
• Keyword search intent: Goals that users pursue when they make a request in a search engine.
• Authority score: An indicator of the quantity and quality of a backlink profile.

Who we are looking for

3+ years of experience as a DS / MLE

Strong understanding of machine learning principles, probability, statistics, linear algebra.

High proficiency in Python and ML stack.

Hands-on experience with LLMs.

Knowledge of SQL.

Practical knowledge of RAG and building AI agents.

Experience deploying and maintaining LLM-based solutions in production.

Experience with DVC, GitLab CI, GCP, and Vertex AI.

Experience in developing ETL processes with Airflow

Experience deploying ML systems with batch / real-time processing and monitoring tools like Grafana, Prometheus, Alertmanager.

Reproducible research

You share our values: Trust, Sense of Ownership, and enthusiasm for Constant Changes.

A bit about the team

We are a data science team supporting SEO domain teams, creating internal ML services. Our team includes a Product Owner, Technical Owner, 2 Data Scientists, and 1 ML Engineer. We are looking for a Data Scientist to join us.

Our stack includes:

• Data Storage: ClickHouse, CloudSQL
• Language: Python

Benefits

• Unlimited PTO
• Flexi Benefit for hobbies
• Employee Support Program
• Family member financial aid
• Employee Resource Groups
• Meals, snacks, drinks at the office
• Teambuilding, training, courses, conferences
• Gifts for employees

About Semrush

Semrush is a leading SaaS platform for online visibility management, enabling global businesses to optimize their online marketing efforts. We have been developing our product for 16 years, received numerous awards, and went public on NYSE in March 2021. Over 10 million users and 1,700 employees worldwide.

Diversity, Equity, and Inclusion

Semrush is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment where everyone feels they belong. Even if you don’t meet all requirements, don’t hesitate to apply!

Product & Development

More than 50 teams develop Semrush products, often associated with bright colors, fostering creativity. Teams typically include Product Owners, Developers, QA, and sometimes Data Scientists or DevOps Engineers. Our teams are located across Europe, working in sprints, with a preference for strategic release timing.