About Similarweb
Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas. We help our customers succeed in today’s digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!
About the Role
Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business. 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.
Responsibilities
- 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
- Collaborating and brainstorming best practices with other teams within the R&D department
- Deploying machine-learning models into production for an ongoing use
Requirements
- Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
- Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
- Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
- Has previous experience developing machine learning/image processing/NLP or similar algorithms
- Demonstrated experience utilizing probability theory and statistics
- Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
- Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)