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From 10,552 similar postings that came down. Coming down is not always a hire.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Work on new directions and solutions for the market
Collaborate with data engineers and product teams
Explore new directions and solutions for the market
Improve existing algorithms
Introduce and experiment with new data sources
Collaborate with data engineers and product teams
Work on new directions and solutions for the market
Collaborate with data engineers and product teams
Look for ways to improve existing algorithms
Introduce and experiment with new data source
Bachelor’s degree is required or equivalent practical experience
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
Experience deploying and maintaining LLM-based solutions in production
Practical knowledge of RAG and building AI agents
Experience with GCP and Vertex AI
Move together. Raise the bar. Learn fast—grow faster. That’s the default. And here’s what else is needed to succeed in this role: - Bachelor’s degree is required or equivalent practical experience - 5+ years of experience as a DS / MLE
Semrush is the leading brand visibility platform, empowering marketers to command their online presence and create measurable impact.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,552 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- Data Storage: ClickHouse - Language: Python - Tools: Airflow, k8s, Docker, Catboost, Pandas
- Hands-on experience working with LLMs - Knowledge of SQL Not required, but a plus:
- Google Cloud Platform - Data Storage: ClickHouse - Language: Python
- Language: Python - Tools: Airflow, k8s, Docker, Catboost, Pandas - LLM APIs: OpenAI, Google, Anthropic
- Experience with GitLab CI - Experience with GCP and Vertex AI - Experience in developing ETL processes with Airflow
Our stack: - Google Cloud Platform - Data Storage: ClickHouse
- Experience in developing ETL processes with Airflow - Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager) - Reproducible research.
- Experience with GCP and Vertex AI - Experience in developing ETL processes with Airflow - Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager)
Complete your application on semrush.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Semrush is a brand visibility platform, empowering marketers to command their online presence and create measurable impact. We unify SEO authority and AI visibility, so brands are found, cited, and chosen everywhere search happens. That’s how Semrush gained the trust of over 28 million users—from scaling startups to Fortune 500 companies.
Here, you own the way you work, but we move as one unbeatable team.
We don’t just lead the market, we’re busy creating the world where Semrush is an unfair advantage for every marketer.
We move fast in ways to help you grow. Here, you have room to experiment, keep what works, and learn quickly from what doesn’t.
Ready to share our ambition and make an impact? Then, this role may be for you.
About the roleMove together. Raise the bar. Learn fast—grow faster. That’s the default. And here’s what else is needed to succeed in this role:
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, and 2 ML Engineers and we are looking for an additional Senior Data Scientist to join our team.
Our stack:
Examples of our projects:
Semrush is the leading brand visibility platform, empowering marketers to command their online presence and create measurable impact.
Built on the industry’s most expansive proprietary dataset, Semrush delivers AI-driven insights across GEO, SEO, Agentic Search Optimization, content marketing, paid media, and social strategy. The company was founded in 2008 and is headquartered in Boston, MA with a global presence across North America, Europe and Asia.
We’ve built something people are proud to be part of. And the awards agree: Great Place to Work, DEI Workplace, Diversity Champion Award, International Inclusion Award, Most Women Friendly Employers, Best Place for Working Parents. All thanks to 1700+ employees who build the company every day.
Semrush is an equal opportunity employer. We are committed to ensure that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
Ready to be a part of this mission? Join us!
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