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Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions powers the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays 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 havent stopped growing since!

A day-to-day role as a Team Manager at Similarweb includes:

Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:

Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We believe in balancing between the flexibility of working from home, and the fun of working together and face to face personal connections. That is why, at Similarweb we have implemented a Hybrid model, in which you work from the office 3 days, and can decide to work from home two days a week. Enjoying the best of both worlds!

The Data Extraction team is one of the core teams in SimilarWebs data acquisition operation. We are responsible for the full lifecycle of collecting data from diverse sources such as web scraping, API integrations, and data partnerships.

As a Data Analyst in this team, you will be the owner of some of the companys most critical datasets and work closely with software engineers in a highly technical environment to design, monitor, and improve data pipelines. Youll combine analytical skills with technical curiosity, ensuring data is accurate, reliable, and scalable for use across the company.

This role is ideal for someone who enjoys analysis while also engaging with the systems and technologies that power the data itself.

What youll do

Research data sources and design metrics, dashboards, and tools to boost visibility and utilization of our datasets.
Perform ongoing data QA, define quality KPIs, and proactively flag anomalies.
Partner with engineers to shape and validate data flows, contributing to the design of complex acquisition projects.
Troubleshoot and debug data issues by diving into pipelines, scripts, and logs.
Act as a subject matter expert for the datasets we deliver, supporting other teams across R&D and Product.

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 todays 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 havent stopped growing since!

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.

This role will report to our Datalabs Team Manager in the, R&D.


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 the Datalabs team, 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. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.

So, what will you be doing all day?

Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:

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