Senior Data Scientist - Pricing & Quality @ Back Market
placeHybrid
attach_money €150,000
businessHybrid
scheduleFull Time
Posted 2 days ago
Your Application Journey
Interview
Email Hiring Manager
****** @backmarket.com
Recommended after applying
Job Details
About Back Market
Hi, we’re Back Market. We’re here to help make tech reliable, affordable, and better than new. As a global marketplace for refurbished devices, we reduce environmental impact by offering trustworthy, affordable tech with significantly lower carbon emissions.
About the Role
As a Senior Data Scientist - Pricing & Quality, you will design, build, and scale AI-driven solutions to improve our marketplace. You will join the Price & Quality team composed of data scientists and backend engineers, focusing on optimizing product pricing and quality on our platform.
What You’ll Do
- Collaborate with data scientists and software engineers to build new features using machine learning, LLMs, and statistical techniques.
- Lead projects from problem definition through metrics development, data extraction, and model implementation.
- Develop, deploy, and maintain scalable machine learning models and pipelines for batch and real-time applications.
- Design and analyze experiments to evaluate new features or model changes.
- Conduct deep statistical analyses to uncover actionable insights and support strategic decisions.
- Communicate complex concepts clearly to engineering, product, and business stakeholders.
About You
- Minimum 3 years of industry experience as a data scientist with a Master’s or PhD in a quantitative field.
- Proven impact in production-level data science projects.
- Strong understanding of machine learning, statistical concepts, experimentation design, and analysis.
- Proficient in Python and SQL, and familiar with software engineering principles.
- Outstanding communication skills to explain technical ideas to diverse audiences.
Bonus Points
- Experience with advanced experimentation, causal inference, or price optimization.
- Familiarity with Tableau is a plus.
Recruitment Process
- Initial call with Senior Tech TA (1h)
- Data Science Challenge
- Technical Interview (1h15)
- Team Fit (1h)
- Back Market Values Fit Interview (45 min)
Key skills/competency
- Data Science
- Machine Learning
- Pricing
- Quality
- Experimentation
- Python
- SQL
- Statistical Analysis
- Deployment
- Communication
How to Get Hired at Back Market
🎯 Tips for Getting Hired
- Research Back Market's culture: Review mission, values, and recent news.
- Customize your resume: Highlight AI and data science projects.
- Demonstrate research skills: Be clear on pricing optimizations.
- Prepare for interviews: Review statistics, Python, SQL, and ML concepts.
📝 Interview Preparation Advice
Technical Preparation
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Review Python libraries for ML.
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Practice SQL queries and data extraction.
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Study real-time model deployment techniques.
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Revise statistical experiments and analyses.
Behavioral Questions
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Describe a challenging project and your role.
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Explain how you handle tight deadlines.
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Discuss teamwork experiences in complex projects.
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Share an instance of clear cross-team communication.
Frequently Asked Questions
What qualifications are required for the Senior Data Scientist role at Back Market?
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How does Back Market integrate machine learning in pricing and quality?
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What is the recruitment process for a Senior Data Scientist at Back Market?
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How important is communication for the Senior Data Scientist role at Back Market?
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