Homeoffice Data Scientist (Samurai Team) with verification

Hi there!

We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance.

This is our role Data Scientist for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic.

Tasks in the role

• DS project development cycle: from problem statement and research to experiments
• Development of classification/ranking/regression/clustering models
• Working with LLM: embeddings, prompt engineering, model fine-tuning
• Supporting the infrastructure for conducting experiments, storing results, retraining models, quality monitoring, and alerting
• Working with data providers' API
  
  
  

Who we are looking for

• 3+ years of experience as a DS/MLE
• Strong understanding of the principles of machine learning algorithms, probability theory, statistics, and linear algebra
• High proficiency in Python and ML stack
• Experience with LLM
• Reproducible research
• Responsibility and proactivity; someone who wants to achieve goals rather than just complete task
  
  
  

Not required, but a plus

• Data visualization and presentation skills
• Proficient in SQL
• Experience with NLP
• Experience with DVC
• You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better
  
  
  

A Bit About The Team

We are the Samurai team, and we’re responsible for the development and support of the Keyword Strategy Builder. Our product helps our clients to easily gather the most relevant content for their websites. We work on complex and interesting tasks with a lot of data, such as information retrieval, clustering, NLP, and so on. We widely use LLM and semantic vectors in our algorithms. Our team includes a Product Owner, a Technical Owner, 1 Frontend, 2 Backend engineers, and QA, UI, and UX designers. The workload is increasing, and tasks are becoming more complex, so we are looking for a Data Scientist.

Our stack

• Google Cloud Platform
• Data Storage: ClickHouse, CloudSQL
• Language: Python
• Tools: k8s, Docker, DVC, Pandas, sklearn, catboost
• LLM APIs: OpenAI, Google
  
  
  

We will try to create all the right conditions for you to work and rest comfortably

• It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both
• Flexible working day start
• Unlimited PTO
• Hobby benefit
• Breakfast, snacks, and coffee at the office
• Corporate events
• Training, courses, conferences
• Gifts for employees
  
  
  

Finally, a Little More About Our Company

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.

We’ve been developing our product for 16 years and have been awarded G2s Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.

10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,000 people around the world are working on its development. The Semrush team is constantly growing.

Our new colleague, we are waiting for you!

Semrush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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. All employment decisions are based on business needs, job requirements, merit, and individual qualifications.

Olga

Researcher

[email protected]