At a Glance
- Tasks: Lead a team of data scientists to deliver impactful insights for top global clients.
- Company: Join Similarweb, a leading digital intelligence platform with a vibrant culture.
- Benefits: Competitive pay, wellness perks, team outings, and career growth opportunities.
- Why this job: Make a real impact with cutting-edge data solutions while mentoring a talented team.
- Qualifications: Experience in managing analytics teams and strong skills in SQL, PySpark, and Python.
- Other info: Diversity and inclusivity are at our core; bring your authentic self to work.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
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.
- 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.
Product Data Science Manager employer: SimilarWeb
Contact Detail:
SimilarWeb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to current or former Similarweb employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Similarweb’s products and services. Show us you’re not just another candidate; demonstrate how your skills can directly impact our clients and their digital strategies.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led teams or tackled complex projects. We want to see your hands-on experience shine through in your answers.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you note can leave a lasting impression and shows us you’re genuinely interested in joining the Similarweb family.
We think you need these skills to ace Product Data Science Manager
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! We want to see how your experience aligns with our mission at Similarweb and how you can contribute to our innovative team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Product Data Science Manager role. Highlight your relevant skills in SQL, PySpark, and Python, and share specific examples of how you've led teams or projects in the past.
Be Clear and Concise: We appreciate clarity! When detailing your experiences, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out and easy to read.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at SimilarWeb
✨Know Your Data Tools
Make sure you brush up on your SQL, PySpark, and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as this role requires a strong technical foundation.
✨Showcase Your Leadership Style
Prepare examples of how you've successfully managed and mentored teams in the past. Highlight your approach to fostering a culture of ownership and continuous learning, as this is key for the Product Data Science Manager role.
✨Understand Client Needs
Since this position involves working closely with clients, think about times when you've translated complex data insights into actionable business strategies. Be ready to discuss how you manage stakeholder expectations effectively.
✨Emphasise Collaboration
This role requires cross-functional collaboration, so be prepared to talk about your experience working with engineering teams or other stakeholders. Share specific examples of how you've driven process improvements and knowledge sharing in previous roles.