ML & Big Data Analyst

Posted: 2026-08-12

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 are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of an ML & Big Data Analyst at Similarweb look like:

- Apply your expertise in quantitative analysis and data mining to turn data into insights.

- Conduct research and develop tools that will ensure the quality of Similarweb’s data and algorithms.

- Utilize your deep understanding of Similarweb’s data in order to evaluate and improve novel algorithms produced by the data scientists in your team.

- Partner with Big Data Engineers to establish an infrastructure to scale solutions.

What will I bring to the team?

- At least 5 years of work experience as Analyst in a Tech Company - Must

- At least 2 years' experience in Python scripting - Must

- Experience with SQL for data analysis -Must

- Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must

- Hadoop/Spark/AWS Infrastructure experience - Big Advantage

- Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage

- Excellent verbal and communication skills (in English) - Must

- Team player, autodidact, fast learner with excellent analytical, research, and business skills.