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Product Data Science Manager
Публичная компания с мировым именем, работа с топовыми клиентами и современный стек технологий. Отличные возможности для карьерного роста и сильная корпоративная культура.
Сложность вакансии
Роль требует сочетания глубоких технических навыков (PySpark, SQL, Python) и управленческого опыта. Высокая ответственность из-за работы с внешними VIP-клиентами и необходимости координировать сложные инфраструктурные решения в AWS.
Анализ зарплаты
Зарплата для позиции Data Science Manager в Лондоне обычно выше среднего по рынку из-за дефицита кадров, сочетающих менеджмент и Big Data навыки. Предложение Similarweb, как публичной компании, вероятно, включает конкурентный базовый оклад и опционы (RSU).
Сопроводительное письмо
I am writing to express my strong interest in the Product Data Science Manager position at Similarweb. With a solid background in leading high-performing analytics teams and a deep technical proficiency in SQL, PySpark, and Python, I am confident in my ability to drive the Data Labs group forward. My experience in translating complex data into actionable business insights for global clients aligns perfectly with Similarweb’s mission to empower businesses with digital intelligence.
Throughout my career, I have successfully balanced hands-on technical execution with strategic people management. I am particularly drawn to this role because of Similarweb's reputation for innovation and the opportunity to work with industry leaders like Google and OpenAI. I am eager to bring my expertise in AWS infrastructure and online marketing analytics to help scale your custom data solutions and mentor the next generation of data scientists within your organization.
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Описание вакансии
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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Навыки
- SQL
- PySpark
- Python
- AWS
- Statistics
- Data Analysis
- Project Management
Возможные вопросы на собеседовании
Проверка опыта управления и развития талантов в технической среде.
Расскажите о случае, когда вам пришлось наставлять сотрудника, чья производительность не соответствовала ожиданиям. Каков был результат?
Оценка технической глубины и понимания масштабируемости данных.
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Важно для роли, ориентированной на клиента (Data Labs).
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Проверка навыка перевода технических данных в бизнес-ценность.
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Оценка опыта работы с облачной инфраструктурой.
Какие инструменты AWS вы считаете наиболее эффективными для развертывания масштабируемых аналитических решений и почему?
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