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A leading technology recruitment firm seeks a Lead Data Scientist for a hybrid role in Barcelona. You will drive machine learning initiatives and lead cross-functional projects specialized in search optimization and personalized recommendations. The ideal candidate has over 6 years of experience in data science with a strong emphasis on leadership, SQL, and Python skills. An attractive compensation package awaits, offering flexible work hours and relocation support.
Our client is a global technology company operating in the online marketplace sector. With offices across Europe and North America, they are known for building innovative platforms that connect communities and enhance everyday experiences. The company values collaboration, diversity, and continuous learning, offering employees the chance to contribute to impactful projects in a dynamic and supportive environment.
We are seeking a Lead Data Scientist to join the data science and analytics division in Barcelona. This role involves driving advanced machine learning initiatives, leading cross-functional projects, and mentoring junior data scientists. The focus is on solving marketplace challenges such as search optimization, ranking algorithms, and personalized recommendations, making this a unique opportunity for professionals eager to combine leadership responsibilities with technical expertise. This is a hybrid position requiring two days per week in the Barcelona office.
SQL
Python (pandas, numpy, scipy, scikit-learn, xgboost)
Data visualization (Tableau, Mode, Matplotlib, ggplot, or similar)
Big data tools (AWS, Spark, Redshift)
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.
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.
This position offers the chance to step into a senior leadership role in an international, data-driven organization. You will influence key product areas by driving innovation in search and personalization, while also developing your leadership skills by mentoring others and managing high-impact projects. Beyond technical challenges, this role provides exposure to strategic decision-making, career advancement opportunities, and the chance to shape user experiences in a global marketplace.
APPLY NOW by filling in the form below or by sending us your CV directly with a subject “Lead Data Scientist – Hybrid – Barcelona” at talent@fut-ure.com
APPLY NOW
We are an equal opportunity employer dedicated to cultivating a diverse and inclusive work environment. We invite and encourage applications from individuals of all backgrounds, irrespective of race, gender, gender identity, religion, marital status, sexual orientation, health conditions, age, or any other personal characteristics.