Senior Data Scientist – Product Insights | JobSetuu
Catawiki
Posted 16 hours ago • Via jobicy.com
Description
Job Overview
- Source: Jobicy
Job Description
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We're a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction , carefully curated by our passionate in-house experts.
Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values:
- Taking ownership and driving impact
- Being open to change and feedback
- Being passionate about our mission and our customers.
If these values resonate with you, we’d love to explore how you can join us on this exciting journey!
About the role and team
With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data every day. All this data is being collected and stored, and used extensively by our team of 19 data scientists and engineers that want to build a better company by using data in a smart way. At Catawiki, we believe in using data for making decisions, and the Data Science & Analytics team plays a central role in that.
We are looking for a Senior Data Scientist - Product Insights to work with our Product teams and leverage data to identify user journey opportunities and measure success of our product features and teams.
You will be part of the Data Science Product Insights Team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.
In this role no two days will be the same: you will build dashboards, design and analyse A/B tests, uncover trends in user behaviour, collaborate with your Data colleagues on discovery for a new ML model, or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s product solutions and deliver real impact.
What You’ll Do
- Own analytics for a broad product area – Unlike at larger companies where analytics roles are more specialized, at Catawiki, you’ll take full ownership of a major part of the platform. This could mean leading analytics for all buyer-facing features, all seller-facing experiences, or everything related to fulfillment. You’ll build strong relationships with stakeholders and proactively identify opportunities by deeply understanding Catawiki’s user behavior.
- Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape Product decisions, flag opportunities, and drive the strategy forward. Through dashboards and reports, you’ll make sure the right information is always at hand to guide the business.
- Leverage advanced analytics – Using techniques like regression analysis, causal inference, and A/B testing, you’ll analyze user behavior, identify actionable insights, and evaluate the effectiveness of new features to ensure continuous improvement.
- Enable data-driven decision-making at scale – You’ll identify and implement self-service data solutions that empower Product teams to make informed decisions faster. Beyond Product analytics, you’ll contribute to foundational data projects like building scalable data pipelines, improving data accessibility, and expanding our A/B Experimentation program.
Who You Are
- Experienced data leader – You have a strong quantitative background and 6+ years of experience in data science or analytics, ideally in an online company. You’re comfortable owning complex projects and guiding teams in data-driven decision-making.
- Advanced technical skills – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
- Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
- Web and app analytics – You have extensive experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM), and can design, implement, and validate measurement strategies.
- Experimentation and impact analysis – You have hands-on experience designing and evaluating A/B tests and other experiments, ensuring robust methodologies that lead to actionable insights.
- Strategic problem solver – You go beyond analyzing data—you proactively identify opportunities, define success metrics, and influence business and product strategy through data-driven recommendations.
- Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.
- Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
Where You’ll Be
This role is based in our Amsterdam office, in the Netherlands.
Why You'll Love Working with Us
- Create a Visible Impact by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.
- Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.
- A Culture of Connection defines us. We’re a passionate, diverse and collaborative team of 800+ Catawikains and 60+ nationalities, all coming together to build a one-of-a-kind marketplace. We foster an inclusive and queer-friendly work environment, committed to making every Catawikian feel welcomed and empowered. Whatever your story, we encourage you to bring your unique perspective to our team.
- Celebrate Life’s Moments with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you'll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to "Pursue Your Passion". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.
Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. This means that you will be in the office 2 out of 5 days (40% of your working time) to collaborate and connect with your colleagues. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead.
Interested?
rmation at the bottom of this page. By submitting your application you agree to Catawiki’s Applicant Privacy Policy.
If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Expert Career Tips for Senior Data Scientist – Product Insights Roles
To succeed in a competitive market as a Senior Data Scientist – Product Insights, you need more than just technical skills. Here are some expert strategies to elevate your profile:
- Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
- Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
- Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Data Scientist – Product Insights requirements.
- Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
- Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.
Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.
Salary & Compensation
Salary not disclosed; typically competitive for the role.
Work Arrangement
Type: On-Site
Standard business hours at the office.
Comprehensive Application Strategy & Hiring Process
Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:
1. Initial Research & Tailoring
Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.
2. The Perfect Cover Letter
If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.
3. Navigating the Multi-Stage Interview
Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.
4. Post-Interview Follow-Up
Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.
By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.
Typical Interview Process
- Resume screening
- HR call
- Skill interview
- Final manager interview
- Offer
Tip: Research the company's products and culture.
Global Market Intelligence & Relocation Insights
At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:
The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.
Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.
Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.
Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.
Skills & Competency Roadmap for Professional Development
To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:
- Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
- AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
- Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
- Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.
By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.
Apply via JobSetuu
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