Data Scientist (Datalab Team) Pilsen, Plzeň

Data Scientist (Datalab Team)

Job Description
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.
And this is our Data Scientist role for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic.
Tasks in the role
- Clickstream-based approximation of traffic and behavioral domain metrics
- Identifying gender, age, and other characteristics of the domains audience
- Categorization of domains by industry, theme, etc
**Requirements**:
Who we are looking for
- Specialized education (mathematics/physics/computer science)
- Deep understanding of machine-learning algorithms and methods
- Knowledge of the basics of probability theory, linear algebra, and mathematical analysis
- Ability to write clean Python code
- Experience with databases
- Ability to send and process HTTP requests
- Work experience of at least two years
- English at a B2 level or higher
- Problem-solving
- Creativity
- 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
The DataLab team is part of the Market Research Unit, which develops products for domain traffic and market analytics. The result of our work is the data used to create reports and display widgets. We work with a really large amount of data and use machine learning in our solutions.
We treat data as a product, and that’s why we constantly try to improve it and make it better for the users of trends products while making better assumptions based on it.
**Some projects we want you to be a part of**:
- Approximation of traffic and engagement metrics of the domain (pages per visit, visit duration, etc.) based on clickstream.
- Determining the socio-demographic characteristics of the domain audience to build a portrait of the user.
We are a large team consisting of Data Scientists, Data Engineers, and Python Developers. Now, we’re looking for one more Data Scientist who loves and knows how to balance research and solving practical problems.
We will try to create all the right conditions for you to work and rest comfortably
- This offer stands for the “hybrid” work format: some days, you work from the office, and some #wfh. Trust us, it’s an efficient way of work. Proven!
- Flexible working day start.
- Psychologist consultations.
- Breakfast, snacks, and coffee at the office.
- Corporate events.
- Multi-sport card and compensation for hobby expense (Employee+Family).
- Unlimited PTO.
- Hobby benefit.
- Training, courses, conferences.
- English and Czech courses.
- Gifts for employees.
Finally, a little more about our company
We’ve been developing our product for 14 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.
Weve been developing our product for 13 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.
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.

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