Product Data Science Manager

Posted: 2026-03-25

Product Data Science Manager - Job Description Data Labs

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 5,700 customers globally, including industry giants like Google, Meta, and 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 an experienced and inspiring Product Data Science Manager to lead a customer-facing team within our fast-paced Data Labs group. In this role, you will manage and mentor a high-performing team of product data scientists while remaining deeply connected to the technical work itself. You’ll be responsible for delivering complex, custom insights to some of the biggest names in the market, ensuring both analytical excellence and strong client impact.

This is a hands-on leadership role that combines people management, technical depth, and cross-functional collaboration. You’ll set standards, scale best practices, and help shape the future of Similarweb’s custom data solutions.

What does the day-to-day of a Product Data Science Manager (Data Labs) at Similarweb look like?

- Lead, mentor, and develop a team of customer-facing data analysts, fostering a culture of ownership, excellence, and continuous learning.

- Oversee end-to-end delivery of complex, custom data products — from client scoping and solution design to execution and ongoing delivery.

- Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices.

- Act as an escalation point for complex analytical challenges, providing hands-on guidance where needed.

- Partner closely with Engineering to define scalable infrastructure and productized solutions.

- Collaborate with Advisory Services and other stakeholders to deliver seamless, high-impact client solutions.

- Drive process improvements, knowledge sharing, and documentation to scale the team’s impact and efficiency.

- Balance client needs, team capacity, and delivery timelines while maintaining a high bar for quality.

This is the perfect job for someone who has:

- Proven experience managing and mentoring data analysts or analytics teams.

- Strong hands-on experience with SQL and PySpark for data analysis — Must.

- Strong Python scripting experience — Must.

- Excellent communication skills in English, with the ability to translate complex analysis into clear business insights.

- Experience working directly with clients and managing stakeholder expectations — Strong Advantage.

- AWS infrastructure experience — Big Advantage.

- Background in online marketing, digital services, or tech analytics — Advantage.

- Demonstrated ability to independently lead complex projects from strategy to execution.

- A proactive, ownership-driven mindset with strong decision-making skills.

- Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field — Must.

- Master’s degree — Big Advantage.