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 Senior Data Scientist

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 a data scientist, 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 our research teams. Together with other data scientists, data engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

So, what will you be doing all day?

Analyzing data from various sources, and turning it into usable input
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to production)
Collaborating with data engineers to make sure we reach the desired production results
Creating key metrics and developing new models and capabilities for our product solutions
Owning the ongoing validation process for existing metrics

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 Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.

Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.

We are seeking a Director of Data Science to lead and manage our machine learning teams within Unitys Grow business. This role is integral to our mission, requiring a balance of strategic vision and tactical execution. The ideal candidate will possess executive leadership capabilities and a deep technical understanding of state of the art (SOTA) machine learning methodologies and frameworks.

Key Responsibilities
Team Leadership: Manage and mentor an organization of autonomous Data Science teams, promoting excellent development practices and ensuring the timely delivery of commitments.
Cross-Functional Collaboration: Partner with Product Management, Business Insights, and Commercialization teams to align staffing and business priorities.
Performance Accountability: Foster a culture of accountability across all levels, establishing clear goals and measurable outcomes.
Cost Management: Collaborate with finance and cloud teams to manage costs associated with all services from training to inference.
Strategic Input: Contribute to the broader Unity technology leadership community by providing input into strategies and standards, ensuring solution reuse, and eliminating solution redundancy.