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Data Scientist (Spain) at F. Schumacher & Co.. . Location: Spain. Data Scientist – Personalization & Customer Analytics (Mid / Senior). . 📍 Remote (Europe) | Eligible to work in EU / Europe. ✈️ 1–2 weeks per year in NYC (optional). . At . F. Schumacher & Co.. , we believe design transforms lives. As a leader in luxury home furnishings, we are investing heavily in . data-driven personalization. to better understand our customers, optimize our product offering, and drive meaningful business growth.. . We are expanding our . Data Strategy & Analytics. team and are looking for . business-oriented Data Scientists. (mid-level and senior) who enjoy working close to commercial teams, exploring data, building practical machine-learning models, and translating insights into real impact.. . This role is ideal for Data Scientists who combine . strong analytical thinking. with . hands-on modeling skills. , and who care as much about . why. a model exists as . how. it works.. . 🔍 Who This Role Is For. . You are a Data Scientist who:. . . Enjoys working close to . marketing, product, and commercial stakeholders. . Translates business questions into analytical and ML solutions. . Builds . practical. recommendation and segmentation models. . Communicates insights clearly to non-technical audiences. . Works end-to-end: . exploration → modeling → insight → impact. . . 🚫 This role is . not. focused on ML infrastructure, backend engineering, or MLOps.. . 💡 What You’ll Do. . . Partner with product, marketing, and operations teams to turn business needs into analytical solutions. . Analyze large-scale customer and product data to uncover patterns, trends, and opportunities. . Develop and refine . customer segmentation. models to support targeted marketing and personalization. . Build and improve . recommendation systems. (collaborative, content-based, or hybrid). . Select, train, and evaluate machine-learning models with a strong focus on business outcomes. . Define and track performance metrics for personalization and recommendation use cases. . Support data quality, enrichment, and modeling during our migration to . PIM and CDP platforms. . Present insights and recommendations to stakeholders in a clear and actionable way. . . 🧠 What You Bring. . Experience. . . Mid-level:. 2+ years as a Data Scientist. . Senior:. 5+ years designing and delivering data-driven solutions. . Hands-on experience with customer analytics, personalization, segmentation, or recommender systems. . . Technical Skills. . . Strong proficiency in . Python. and . SQL. . Experience with common ML libraries (e.g. scikit-learn, TensorFlow, PyTorch). . Solid foundation in:. . . Exploratory data analysis. . Feature engineering. . Model evaluation & interpretation. . . . Business & Communication. . . Ability to translate ambiguous business questions into analytical approaches. . Comfortable presenting findings to non-technical stakeholders. . Strong English communication skills. . . Nice to Have. . . Experience in . e-commerce, retail, or data-intensive industries. . Exposure to . LLMs or AI techniques. for practical business use cases (e.g. data enrichment, tagging, content analysis). . . 🎁 What We Offer. . . Competitive salary and benefits, based on experience. . Fully remote work within Europe. . Optional time in our . NYC office (1–2 weeks per year). . High ownership and visibility on impactful business initiatives. . Collaborative, inclusive, and low-ego working environment. . . Schumacher & Co. is an Equal Opportunity Employer.. We celebrate diversity and are committed to creating an inclusive environment for all employees.. .