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.
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