Ethos is hiring a Data Scientist

DriveWhip is looking for a Mid-level or Senior Data Scientist to join our team. You will focus on Personalization & Customer Analytics, working closely with commercial teams to build practical ML models, translate insights into business impact, and support data-driven personalization initiatives. The ideal candidate combines strong analytical thinking with hands-on modeling skills and cares about both the business 'why' and the technical 'how'.

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 migration to PIM and CDP platforms.
• Present insights and recommendations to stakeholders in a clear and actionable way.

What We're Looking For

• 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.
• Strong proficiency in Python and SQL.
• Experience with common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid foundation in exploratory data analysis.
• Solid foundation in feature engineering.
• Solid foundation in model evaluation & interpretation.
• 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).

Technical Stack

• Python
• SQL
• scikit-learn
• TensorFlow
• PyTorch

Team & Environment

You will be part of the expanding Data Strategy & Analytics team, working close to marketing, product, and commercial stakeholders.

Benefits & Compensation

• Competitive salary and benefits, based on experience.
• Fully remote work within Europe.
• Optional time in NYC office (1–2 weeks per year).
• High ownership and visibility on impactful business initiatives.
• Collaborative, inclusive, and low-ego working environment.

Work Mode

This is a fully remote role for candidates located in Europe.

Schumacher & Co. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.