At a Glance
- Tasks: Lead a team of data scientists to deliver impactful insights for top global clients.
- Company: Join Similarweb, a leader in digital intelligence with a vibrant culture.
- Benefits: Competitive salary, wellness perks, team outings, and career growth opportunities.
- Other info: Diversity and inclusivity are at our core, fostering a welcoming workplace for all.
- 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.
The predicted salary is between 70000 - 85000 £ per year.
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 Open AI, 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, Py Spark, 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 Py Spark 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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Product Data Science Manager employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Science Manager
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Stryker Corporation.
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We think you need these skills to ace Product Data Science Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Stryker Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Stryker Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Stryker Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Stryker Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
