Zalando Marketing Services GmbH
Principal Applied Scientist(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ZAZalando
Principal Applied Scientist / Lounge by Zalando(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing experimentation frameworks and analyzing complex A/B tests for a pan-European fashion e-commerce ecosystem. Ph.D. in Economics with expertise in causal inference methods required. 27-30 days holiday, up to 60% remote per week.
Requirements
- Ph.D. in Economics with quantitative research methods emphasis
- Expertise in experimentation and quasi-experimental methods (DML, difference-in-differences)
- Strong scientific problem-solving skills
- Clear communication of analytical insights
- Proficiency in Python
- Proficiency in SQL
- Experience with Machine Learning methods
- Experience with scikit-learn
- Experience with PyTorch
- Experience with Jupyter Notebooks
- Experience with Airflow
- Experience with Data Build Tool (DBT)
- Experience with PySpark
- Experience with Databricks
- Experience with Git
- Experience with estimation of heterogeneous effects (causal forests)
- Regular use of AI-based analytical tools
- Constant exploration of new AI developments
Tasks
- Foster data-driven decision-making
- Design experimentation frameworks
- Analyze complex A/B tests
- Serve as an expert on causal inference
- Participate in research efforts impacting company strategy
- Collaborate with applied scientists, data analysts, product managers, software developers, data engineers, and commercial stakeholders
- Focus on key performance indicators (KPIs)
- Conduct statistical power analysis
- Implement variance reduction techniques
- Design experiments for complex cases
- Address Stable Unit Treatment Value Assumption (SUTVA) violations
- Evaluate short-term and long-term effects
- Apply quasi-experimental methods to observational data
- Establish causal relationships for product development
- Guide business decisions with economic modelling
- Provide constructive scientific feedback
- Coach junior colleagues
- Set broad scientific roadmaps
- Bring significant industry track record
- Demonstrate scientific leadership
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Machine Learning
- scikit-learn
- PyTorch
- Jupyter Notebooks
- Airflow
- Data Build Tool (DBT)
- PySpark
- Databricks
- Git
- Double Machine Learning (DML)
- difference-in-differences
- causal forests
- AI-based analytical tools
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ZAZalando
Principal Applied Scientist / Lounge by Zalando(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing experimentation frameworks and analyzing complex A/B tests for a pan-European fashion e-commerce ecosystem. Ph.D. in Economics with expertise in causal inference methods required. 27-30 days holiday, up to 60% remote per week.
Requirements
- Ph.D. in Economics with quantitative research methods emphasis
- Expertise in experimentation and quasi-experimental methods (DML, difference-in-differences)
- Strong scientific problem-solving skills
- Clear communication of analytical insights
- Proficiency in Python
- Proficiency in SQL
- Experience with Machine Learning methods
- Experience with scikit-learn
- Experience with PyTorch
- Experience with Jupyter Notebooks
- Experience with Airflow
- Experience with Data Build Tool (DBT)
- Experience with PySpark
- Experience with Databricks
- Experience with Git
- Experience with estimation of heterogeneous effects (causal forests)
- Regular use of AI-based analytical tools
- Constant exploration of new AI developments
Tasks
- Foster data-driven decision-making
- Design experimentation frameworks
- Analyze complex A/B tests
- Serve as an expert on causal inference
- Participate in research efforts impacting company strategy
- Collaborate with applied scientists, data analysts, product managers, software developers, data engineers, and commercial stakeholders
- Focus on key performance indicators (KPIs)
- Conduct statistical power analysis
- Implement variance reduction techniques
- Design experiments for complex cases
- Address Stable Unit Treatment Value Assumption (SUTVA) violations
- Evaluate short-term and long-term effects
- Apply quasi-experimental methods to observational data
- Establish causal relationships for product development
- Guide business decisions with economic modelling
- Provide constructive scientific feedback
- Coach junior colleagues
- Set broad scientific roadmaps
- Bring significant industry track record
- Demonstrate scientific leadership
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Machine Learning
- scikit-learn
- PyTorch
- Jupyter Notebooks
- Airflow
- Data Build Tool (DBT)
- PySpark
- Databricks
- Git
- Double Machine Learning (DML)
- difference-in-differences
- causal forests
- AI-based analytical tools
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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