Data Scientist

F. Schumacher & Co.; À distance; EUR 60 000 - 85 000; Plein temps

Résumé du poste

A luxury home furnishings leader is seeking a Data Scientist for personalization and customer analytics to drive impactful business growth through data-driven insights. This remote position requires strong analytical and modeling skills, with collaboration across marketing and product teams. Ideal candidates will have 2+ years of experience with customer analytics, proficiency in Python and SQL, and the ability to present findings to stakeholders. Competitive salary and benefits offered along with a collaborative work environment.

Prestations

Competitive salary and benefits

Fully remote work within Europe

Optional time in NYC office (1–2 weeks per year)

Qualifications

• 2+ years as Data Scientist for mid-level; 5+ years for senior.
• Hands-on experience with customer analytics, personalization, segmentation, or recommender systems.
• Ability to present insights effectively to non-technical audiences.

Responsabilités

• Transform business needs into analytical solutions.
• Analyze large-scale customer and product data.
• Develop customer segmentation models.

Connaissances

Data analytics

Machine learning

Collaboration

Communication

Data visualization

Outils

Python

SQL

scikit-learn

TensorFlow

PyTorch

Description du poste

Overview

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

🚫 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

Business & Communication

• Ability to translate ambiguous business questions into analytical approaches
• Comfortable presenting findings to non-technical stakeholders

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.