- 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 that will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms.
- Partner with Engineering teams to establish an infrastructure to scale solutions.
- Partner with the 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.
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