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Data Scientist

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Job Description - Data Scientist

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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