Senior Data Scientist – Hybrid

About the client

Our client is a fast-growing technology company operating in the digital marketplace space, with international offices and a diverse team of professionals. They are recognized for building user-friendly platforms that connect people worldwide and for fostering a collaborative, data-driven culture. Their mission is to deliver innovative solutions that enhance customer experiences while empowering their community of users and partners.

We are seeking a Senior Data Scientist to join the analytics and data science team in Barcelona. This role is ideal for professionals with strong technical expertise and leadership abilities, who enjoy mentoring, driving complex projects, and applying advanced machine learning techniques to solve real business problems. The position focuses on improving search, recommendations, and retention strategies in a dynamic, fast-paced environment.

This is a hybrid role, requiring two days per week onsite in the Barcelona office.

• Position: Senior Data Scientist – Hybrid – Barcelona
• Type of work: Hybrid from Barcelona
• Work from office requirements: 2 days per week from the office; 100% remote option is NOT possible
• 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: 4+ years of experience
• Must-have tech skills: SQL, Python, common data science libraries, data visualization, and a 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

• SQL
• Python (scikit-learn, xgboost, numpy, scipy, pandas)
• Data visualization tools (e.g., Tableau, Mode, Matplotlib, ggplot)
• Big data technologies (e.g., Spark, AWS, Redshift)

• Partner with product, marketing, and operations teams to identify opportunities to optimize user matching and increase customer retention
• Build and refine predictive models and machine learning algorithms for search and recommendations
• Enhance ranking systems by incorporating contextual features such as location, past user behavior, and performance metrics
• Perform deep data analyses to uncover marketplace insights and provide strategic recommendations
• Design and maintain scalable data pipelines that support experimentation, monitoring, and decision-making
• Apply statistical analysis to measure impact, forecast trends, and establish causal relationships when A/B testing is not feasible
• Implement best practices for deploying and monitoring machine learning models in production

• At least 4 years of professional experience as a Data Scientist in a business environment
• A degree in a quantitative field (advanced degree preferred)
• Solid foundation in probability, hypothesis testing, and experimental design
• Strong expertise in machine learning techniques such as ensemble models, NLP, optimization, clustering, or deep learning
• Previous experience in personalization, recommendations, or two-sided marketplaces is highly valued
• Excellent SQL and Python skills, along with experience in data visualization and big data technologies
• Strong communication…