Data Scientist
at Similarweb
Tel Aviv-Yafo, Israel, onsite, mid, full time, 3+ years
posted 27 Apr 2025
- R
- NLP
- Image Processing
- PySpark
- Big Data
- Probability Theory
- Machine Learning
- Statistics
- AWS
- Python
About the role
Posted: 2025-04-27
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.
We’re looking for a Data Scientist to join our R&D department!
Why is this role so important at Similarweb?
Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in Similarweb, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
What you would do
- Working on versatile use cases within a dynamic, fast paced production environment
- Strategic thinking and problem solving, with a strong business sense
- Analyzing data from various sources, and turning it into usable input
- Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
- Initiating newly defined tasks from exploration to proof of concept
- Owning the finalization of defined tasks (from POC to deployment in production)
- Collaborating with data engineers to make sure we reach the desired production results
- Owning the ongoing validation process for existing metrics
Read from job-boards.greenhouse.io, last seen 4d ago.