Staff Data Scientist, Experimentation

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2K per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)

• Monthly product advantages (Wallapop Club)

• Work anniversary Gifts and Birthday Surprises

• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

• Technical Expertise:8+ years of total experience in data science, product analytics, or causal inference, including at least 4 years deeply focused on experimentation (experimental design, statistical inference, A/B testing, and variance reduction).
• Tooling & Code: Strong SQL proficiency along with experience using Python or R.
• Product Partnership: Proven ability to partner directly with Product organizations and influence senior stakeholders using strong business judgment.
• Leadership: Demonstrated success building experimentation cultures, experience coaching PMs and analysts, and excellent communication skills.

What Would Be A Plus 🚀

• Experience in Amplitude
• Experience working in marketplaces, e-commerce, consumer internet, or two-sided platforms.
• Experience with recommendation systems or search systems.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us💫.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace's convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

We are seeking an experienced Experimentation lead who will own the evolution of Wallapop's experimentation practice. This person will define the company's experimentation standards, improve statistical rigor, increase the speed and quality of product decisions, and help Product teams adopt a culture of evidence-based decision making.

You will partner closely with Product, Engineering, Data Science, Analytics, and Executive leadership to ensure experiments are designed, executed, analyzed, and interpreted consistently across the organization. You will be both a hands-on expert and an internal consultant, helping teams answer critical questions about marketplace growth, personalization, search, discovery, trust & safety, monetization, and seller experiences.

What You Will Do👇

• Experimentation Strategy: Define Wallapop's experimentation vision and roadmap, establish company-wide standards, create frameworks for experiment prioritization, and develop guardrail metrics and governance.
• Statistical Excellence: Own methodology across the company and introduce advanced techniques (CUPED, sequential testing, network effect measurement, marketplace methods, quasi-experimental designs, and incrementality measurement) to reduce decision latency.
• Product Partnership & Enablement: Act as a strategic advisor and coach to Data Analysts, Data Scientists, and PMs on hypothesis development, experiment design, and success metrics to raise overall experimentation maturity.
• Education: Build Wallapop's experimentation curriculum, deliver training programs for PMs, Designers, Engineers, and Analysts, and establish playbooks and office hours.
• Platform & Tooling: Partner with Data Engineering and Analytics Engineering to improve infrastructure, evolve Amplitude Experiment data practices, and define quality standards for exposure logging.
• Marketplace Optimization: Design experimentation approaches for search ranking, recommendations, personalization, marketplace liquidity, supply-demand dynamics, seller growth, trust & safety, and ads monetization.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

What We're Looking For 🔍