Lead Data Scientist - Hybrid

Barcelona office. Role Highlights: - Position: Senior Data Scientist - Hybrid - Barcelona - Type of work: Hybrid from Barcelona. - Work from office requirements: 2 days per week in the Barcelona office. 100% remote option is not available. - Type of contract: Full-time employment contract. - Contract location: Spain. - Type of company: A fast-growing tech company connecting users with trusted providers worldwide - making everyday care easier, safer, and more accessible while creating a meaningful impact in millions of lives. - Years of experience required: 6+ years of experience, 1+ year of lead experience - Must-have tech skills: SQL, Python, common data science libraries, data visualization, and a strong foundation in statistics and machine learning. - Industry: On-Demand Consumer Services/ Gig Economy Tech. - Relocation support: Relocation support for EU expats. - Bonuses, perks, benefits: Competitive compensation package with performance-based incentives, permanent

contract with a pension plan, meal tickets, private health insurance, generous PTO allowance, flexible work hours + relocation assistance if needed, life insurance, wellness/gym membership options - Reasons why it is a great place to work? It is a mission-driven, fast-growing tech company that makes a real impact worldwide. It offers a diverse, collaborative culture with strong leadership, flexible work options, relocation support, and competitive benefits. Employees enjoy access to cutting-edge technology, continuous learning, and a focus on well-being, recognition, and social responsibility. - Work permit requirements: Only candidates with a valid work permit for any European Union (EU) country will be considered for this role. Tech stack - SQL - Python (pandas, numpy, scipy, scikit-learn, xgboost) - Data visualization (Tableau, Mode, Matplotlib, ggplot, or similar) - Big data tools (AWS, Spark, Redshift) What will you do - Lead large-scale data science projects in collaboration with product, engineering, and operations teams. - Guide the evolution of search and recommendation algorithms by incorporating new features and optimization strategies. - Mentor and support junior data scientists, ensuring high-quality output and professional growth within the team. - Conduct in-depth analysis of marketplace dynamics, delivering actionable insights and strategic recommendations. - Design, build, and maintain reliable data pipelines that power decision-making and model deployment. - Implement and promote best practices in machine learning development, monitoring, and performance evaluation. - Apply statistical methods to predict user behavior, assess interventions, and derive causal insights when experiments are not possible. Ideally you bring - At least 6 years of experience as a Data Scientist in a business environment, including 1+ years mentoring or managing others. - A degree in a quantitative discipline; advanced degrees (MS or PhD) are highly valued. - Strong expertise in probability, statistics, and experimental design. - Hands-on experience with modern machine learning algorithms such as ensemble models, NLP, clustering, or deep learning. - Proven success working with Search, Ranking, and Recommendation systems. - Excellent SQL and Python programming skills, with experience in visualization and big data technologies. - Strong communication skills, able to simplify complex analyses for non-technical audiences. - A collaborative mindset and the ability to thrive in a fast-paced, cross-functional environment. How this role will benefit your professional career This position offers the chance to step into a senior leadership role in an international, data-driven organization. You will influence key product a