Zalando Marketing Services GmbH
Principal Applied Scientist(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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ZAZalando
Principal Applied Scientist / Lounge by Zalando(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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ZAZalando
Principal Applied Scientist / Lounge by Zalando(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Noch nicht perfekt?
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