Lead Data Scientist — Hybrid in Barcelona
2 days ago
Barcelona
ph3strongAbout the client /strong /h3pOur 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. /ph3strongAbout the role /strong /h3pWe 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. /ph3bRole Highlights: /b /h3ullibPosition: /b Lead Data Scientist – Hybrid – Barcelona /lilibType of work: /bHybrid from Barcelona. /lilibWork from office requirements: /b2 day per week from the office, 3 days per week from the office. 100% remote option is NOT possible. /lilibType of contract: /bFull-time employment contract. /lilibContract location: /bSpain. /lilibType of company: /bA 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. /lilibYears of experience required: /b6+ years of experience, 1+ year of lead experience /lilibMust-have tech skills: /bSQL, Python, common data science libraries, data visualization, and a strong foundation in statistics and machine learning. /lilibIndustry: /bOn-Demand Consumer Services/ Gig Economy Tech. /lilibRelocation support: /bRelocation support for EU expats. /lilibBonuses, perks, benefits: /bCompetitive 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 /lilibReasons why it is a great place to work? /bIt 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. /lilistrongWork permit requirements: /strongOnly candidates with a valid work permit for any European Union (EU) country will be considered for this role. /li /ulh3strongTech stack /strong /h3ullipSQL /p /lilipPython (pandas, numpy, scipy, scikit-learn, xgboost) /p /lilipData visualization (Tableau, Mode, Matplotlib, ggplot, or similar) /p /lilipBig data tools (AWS, Spark, Redshift) /p /li /ulh3strongWhat will you do /strong /h3ullipLead large-scale data science projects in collaboration with product, engineering, and operations teams. /p /lilipGuide the evolution of search and recommendation algorithms by incorporating new features and optimization strategies. /p /lilipMentor and support junior data scientists, ensuring high-quality output and professional growth within the team. /p /lilipConduct in-depth analysis of marketplace dynamics, delivering actionable insights and strategic recommendations. /p /lilipDesign, build, and maintain reliable data pipelines that power decision-making and model deployment. /p /lilipImplement and promote best practices in machine learning development, monitoring, and performance evaluation. /p /lilipApply statistical methods to predict user behavior, assess interventions, and derive causal insights when experiments are not possible. /p /li /ulh3strongIdeally you bring /strong /h3ullipAt least 6 years of experience as a Data Scientist in a business environment, including 1+ years mentoring or managing others. /p /lilipA degree in a quantitative discipline; advanced degrees (MS or PhD) are highly valued. /p /lilipStrong expertise in probability, statistics, and experimental design. /p /lilipHands-on experience with modern machine learning algorithms such as ensemble models, NLP, clustering, or deep learning. /p /lilipProven success working with Search, Ranking, and Recommendation systems. /p /lilipExcellent SQL and Python programming skills, with experience in visualization and big data technologies. /p /lilipStrong communication skills, able to simplify complex analyses for non-technical audiences. /p /lilipA collaborative mindset and the ability to thrive in a fast-paced, cross-functional environment. /p /li /ulh3strongHow this role will benefit your professional career /strong /h3pThis 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. /ph3Sounds like you or would like to get more information? /h3pAPPLY NOW by filling in the form below or by sending us your CV directly with a subject “Lead Data Scientist – Hybrid – Barcelona” at /ppa APPLY NOW /a /ppstrongDisclaimer: /strong /ppstrongWe 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. /strong /p /p #J-18808-Ljbffr