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Product Data Science Manager

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What you’ll work on

Full posting

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.

This is a hands-on leadership role that combines people management, technical depth, and cross-functional collaboration.

  • Lead, mentor and develop a team of customer-facing data analysts

  • Oversee end-to-end delivery of complex, custom data products for clients

  • Set high analytical and technical standards, including SQL, PySpark, Python and data validation

  • Act as escalation point for complex analytical challenges

  • Partner with Engineering on scalable infrastructure and productized solutions

From the employer’s posting
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.
Lead, mentor, and develop a team of customer-facing data analysts
Oversee end-to-end delivery of complex, custom data products
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
Partner closely with Engineering to define scalable infrastructure and productized solutions.

What you’ll bring

All qualifications

Core experience

  • Proven experience managing and mentoring data analysts or analytics teams
  • Strong hands-on experience with SQL and PySpark for data analysis
  • Strong Python scripting experience
  • Bachelor's degree in Statistics, Computer Science, Engineering, or a related field
  • Excellent English communication, translating analysis into business insights
Qualification wording
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.
Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field — Must.
Excellent communication skills in English, with the ability to translate complex analysis into clear business insights.
Education & alternatives
- 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.
- Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field — Must. - Master’s degree — Big Advantage. Why you’ll love being a Similarwebber:
Apply at Similarweb

Posting record

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Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026204 days ago
Recorded sightings
209
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 204

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,839 similar postings that came down. Coming down is not always a hire.

Similarweb is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • PySpark
Where the posting names them
- 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.
- 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.
- 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.
- 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.

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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.

About the Role

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.

 

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.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

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