Senior Data Scientist (Sota Team)

Posted Yesterday
Be an Early Applicant
6 Locations
Remote or Hybrid
Senior level
Marketing Tech • Software
New Stars Are Born Here!
The Role
Design, build, and optimize LLM- and NLP-based systems for AI search products. Create evaluation frameworks and benchmarks, perform brand/entity/domain extraction, improve model pipelines for quality, cost, and throughput, write production-quality Python, and collaborate with Product, Engineering, and Data Science to deploy working solutions.
Summary Generated by Built In

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 role

  • Build and improve LLM- and NLP-based systems used in AI Search optimization products

  • Design evaluation frameworks and benchmarks for LLM outputs, prompts, and model behavior

  • Work on brand extraction, domain mapping, entity extraction, and related algorithmic tasks

  • Optimize LLM pipelines for quality, cost, throughput, and reliability

  • Write clean, production-quality Python code

  • Collaborate with Product, Engineering, and other Data Scientists to turn product problems into working technical solutions

Examples of our projects:

  • Brand Extraction and Domain Mapping – extracting brand names, mapping corresponding domains, and other relevant entities from LLM-generated responses

  • LLM quality evaluation and optimization – building benchmarks to evaluate prompt and model quality, while improving throughput, latency, and cost

  • Algorithm development – designing and improving algorithms for product aliases, brand hierarchies, and other domain-specific problems

About you

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: 

Hard Skills:

  • 5+ years of experience as a Data Scientist, Machine Learning Engineer, or in a similar role

  • Strong knowledge of machine learning, statistics, and classical NLP techniques

  • Strong Python and SQL skills

  • Practical experience working with LLMs or LLM-based systems

  • Understanding of how to evaluate model quality using datasets, benchmarks, or experiments

  • Ability to write clean, maintainable, and reliable code

  • Ownership mindset and ability to work with ambiguous product problems

Soft Skills:

  • You care about delivering working solutions, not just experiments

  • You balance execution speed with code quality, reliability, and maintainability

  • You communicate clearly and collaborate well across Data Science, Product, and Engineering

Not required, but a plus
  • Experience with RAG, AI agents, or agent-based systems

  • Experience deploying ML or LLM-based solutions in production

  • Experience with GCP, Vertex AI, or GitLab CI

  • Experience with asynchronous Python, high-throughput API calls, or large-scale data processing

  • Experience with monitoring, experiment tracking, or reproducible research practices

About the team

We are a Data Science team focused on LLM- and NLP-powered products for AI Search optimization. We work on AIO, AI Summarization, Brand Extraction and Domain Mapping, building AI-driven solutions for SEO analysis, entity extraction, and domain understanding.
 

Our stack:

  • Python

  • Google Cloud Platform

  • ClickHouse, PostgreSQL

  • ClearML, Docker, LangFuse, DVC

  • LLM APIs: OpenAI, Google, Anthropic, Perplexity

About the perks
  • Unlimited PTO

  • Hobby & team building budget allowance

  • Employee Support Program

  • Loss of family member financial aid

  • Employee Resource Groups

A little more about us

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. 

About our Diversity, Equity, and Inclusion commitments 

Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! 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!

Skills Required

  • 5+ years experience as a Data Scientist, Machine Learning Engineer, or similar
  • Strong knowledge of machine learning, statistics, and classical NLP techniques
  • Strong Python skills
  • Strong SQL skills
  • Practical experience working with LLMs or LLM-based systems
  • Understanding of how to evaluate model quality using datasets, benchmarks, or experiments
  • Ability to write clean, maintainable, and reliable production-quality code
  • Ownership mindset and ability to work with ambiguous product problems
  • Experience with RAG, AI agents, or agent-based systems
  • Experience deploying ML or LLM-based solutions in production
  • Experience with GCP, Vertex AI, or GitLab CI
  • Experience with asynchronous Python, high-throughput API calls, or large-scale data processing
  • Experience with monitoring, experiment tracking, or reproducible research practices

Semrush Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Semrush and has not been reviewed or approved by Semrush.

  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health support, and tax‑advantaged accounts, with low‑cost options described for U.S. roles. Disability and life insurance, as well as travel coverage, further strengthen the package.
  • Leave & Time Off Breadth Time‑off offerings include unlimited PTO, paid holidays and sick time, substantial parental leave, and sabbatical options. Policy guidance encouraging minimum time off appears alongside remote‑friendly flexibility.
  • Retirement Support A 401(k) plan is offered for U.S. employees, with employer match referenced in some role descriptions. Retirement support is presented consistently as part of the core rewards.

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The Company
HQ: Boston, MA
1,000 Employees
Year Founded: 2008

What We Do

Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.

Why Work With Us

Sense of Ownership. We all share the desire to set things into motion. Drive the projects you find meaning in, because it’s not worth wasting time on something you don’t believe in. Constant Changes. We are always looking to make things better. Trust. It’s what you have here by default. Speak up and be your true self.

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