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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 Big Data for Shopper Group, to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business.

As a data engineer, you will work at the very core of the shopper solution, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.

Your role as a data engineer will give you the opportunity to use the most cutting-edge technologies to solve complex technical problems.



So, what will you be doing all day?

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

You will work in a heterogeneous team alongside data scientists. Together you will tackle complex data challenges and bring new solutions and algorithms to production.
Develop and maintain data processing jobs using big data technologies
Contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies.
You will experiment with various technologies in the domain of big data processing.
You will monitor our data pipelines to ensure data is ingested correctly from various sources, you will identify and fix bottlenecks and failures.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

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 over 4,300 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 continue reaching new heights! Come work alongside Similarwebbers who are bright, curious, practical, and good people.

Were looking for a DATA -BACKEND (DATA EXTRACTION) to take an important part in SimilarWebs data extraction team and play a key role in our growing data acquisition operation.

This role will report to the Team manager- R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business. As a data server engineer, you will work in one of the companys core teams and design and implement complex, high-scale systems that retrieve and analyze data from around the internet.

You will be responsible for:

Scraping - Building and maintaining high scale web-scraping operations.
Processing - Creating complex data pipelines that process and enrich our raw data and serve it to different consumers through various databases and data-lakes.
Engineering - Designing and building large scale, high quality systems to support our data infrastructure and production systems
As a Data-Server Engineer in Data Extraction, you will:

Write complex PySpark applications that process, manipulate and validate large datasets, in high quality and under strict SLA.
Develop dockerized high-performance microservices.
Take a major part in designing and implementing complex high scale systems using a large variety of technologies.
Work in a team with talented and independent engineers with whom youll be able to share knowledge and expertise.
learn new technologies, handle a multitude of systems.
Implement solutions in AWS cloud environment.
Take part in monitoring and debugging data pipelines and high scale services in order to identify and fix bottlenecks and failures.

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 over 4,300 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 dynamic Data Scientist to join our Product Operations & Analytics Team reporting to the VP of Product Operations. This unique position requires an analytical mind combined with a deep understanding of our products.
As part of the team, you will be pivotal in making data-driven strategic decisions by leveraging predictive modeling and machine learning techniques, especially around our business metrics. You will also use predictive modelling to increase and optimize customer experience, product decisions, and other business outcomes and share them with the product management group and executives.

You will develop processes and tools to monitor and analyze model performance.

The ideal candidate is adept at working with large data sets to find business opportunities using a variety of models. You must be comfortable working with a wide range of stakeholders.

So, what will you be doing all day?

Inference and Predictive Modeling and Analysis
- Develop and maintain churn prediction models for various products and customer types.
- Build models for upsell/down-sell opportunities and risk, and predict conversion probabilities for both self-serve and high-touch customers.
- Develop models that optimize our user journey, adoption, activation and growth of our products.
End-to-End Model Ownership
- Take full ownership of the model development cycle - from ideation and design to communication, iteration, collaborate with data engineers to productionize and support.
Stakeholder Collaboration
- Collaborate closely with stakeholders, including the C-suite, Go-To-Market team, Product Management, Marketing, etc.
- Gather requirements feedback and ensure alignment with business objectives.
- Present complex data findings in a clear, concise, and actionable manner to non-technical stakeholders.
Product and Business Understanding
- Develop a deep understanding of our products and business, ensuring that models and analyses are relevant and actionable.
Analytics Team Support
- Lead the automation of large and complex tasks, streamlining processes and enhancing efficiency for the analytics team.

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 over 4,300 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.

Were looking for a BIG DATA DEVELOPER for the Data Collection, Ingest team to contribute to the design and coding of Similarwebs data ingestion services. This role involves working as part of a team that handles millions of requests per minute across hundreds of servers, processing billions of events each day.

This role will report to the R&D Director of Data Collection.


Why is this role so important at Similarweb?

As the most trusted platform for measuring online behavior, millions of people rely on Similarwebs insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis.

You will have the opportunity to perform hands-on work and own Similarwebs raw data ingestion pipeline end-to-end. Your work will directly impact the quality and reliability of our data and the insights our products deliver to our customers.

So, what will you be doing all day?

Your role as part of the Ingest, Data Collection team means your daily responsibilities may include:

Design, code and manage end-to-end Similarwebs data ingestion pipelines, both online and offline.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead designs & decision-making processes of the team.
Solve diverse, complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

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 over 4,300 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 seeking a Data Analyst to join our team and bolster our Advisory Services group. In this role, you'll collaborate with the team to tackle captivating technological challenges, leveraging your expertise to drive us towards our goals.

What does the day-to-day of a Data Analyst (Advisory Services) at Similarweb look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answering client's business questions by using Similarwebs raw data sets and algorithms.
Create custom reports according to strategic clients business needs.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

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!

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 a 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 Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs 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.

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!

The DI 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.

As a data scientist in the DI 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. This role will report to our DI 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

So, what will you be doing all day?

Your role as part of the R&D department, and as part of the DI 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

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!

We are looking for a talented and dedicated 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 a 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 Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs 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.