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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Skills Required
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience
- At least 3 years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role
- Strong proficiency in SQL and Python
- Experience solving complex analytical problems using quantitative and statistical approaches
- Experience working in customer-facing environments and collaborating with engineers, sales, and customer-facing teams
- Experience owning enterprise customer engagements end-to-end, including feasibility evaluation, solution design, implementation, and ongoing delivery
- Excellent English communication skills, including presenting insights to technical and non-technical audiences
- Ability to independently lead and own analytical initiatives in ambiguous, fast-paced environments
- Master's degree in a quantitative field
SimilarWeb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SimilarWeb and has not been reviewed or approved by SimilarWeb.
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Healthcare Strength — Medical, dental, and vision insurance are listed across U.S. postings, and wellness initiatives such as gym membership are highlighted. This indicates a solid core health offering that is characterized as competitive for a mid‑size tech company.
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Retirement Support — A 401(k) plan is included, with materials noting a company match that vests immediately for U.S. employees. This retirement backbone is consistently referenced in job postings.
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Leave & Time Off Breadth — Company profiles and postings cite generous PTO, paid holidays and sick time, and paid parental leave. Employer‑verified U.S. PTO details also mention PTO plus floating holidays.
SimilarWeb Insights
What We Do
Digital is now the most important driver of growth and profitability for just about every business. Similarweb is a platform that gives our customers a true 360 degree view of all digital activity across customers, prospects, partners, and competition. The resulting insights give our customers — who are some of the world’s biggest brands — a digital edge that helps them beat their competition and win their markets.
