Product Data Scientist (Customer-facing)

Location: Tel Aviv-Yafo, Israel

Department: R&D

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, Meta, OpenAI, 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 sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Product Data Science Customer Facing (Data Labs) at Similarweb look like:

• Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
• Apply your expertise in quantitative analysis and data mining to turn data into insights.
• Conduct research and develop tools which will help answer client's’ business. questions by using Similarweb’s raw data sets and algorithms.
• 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

This is the perfect job for someone who has:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).
• 3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role.
• Strong proficiency in SQL and Python.
• Demonstrated experience solving complex analytical problems using quantitative and statistical approaches.
•  Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs.
• Proven experience owning enterprise customer engagements end to end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights.
•  Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences.
• Proven ability to independently lead and own analytical initiatives end to end in ambiguous, fast-paced environments.
• Master's Degree in a quantitative field - Big Advantage.