Data Scientist

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’re looking for a Data Scientist to join our R&D department!

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 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.

So, what will you be doing all day?

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

This is the perfect job for someone who:

1. Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
2. Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
3. Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
4. Has previous experience developing machine learning/ image processing/NLP or similar algorithms
5. Demonstrated experience utilizing probability theory and statistics
6. Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
7. Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

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