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Senior Applied Scientist - Partner Tech(m/w/x)
Applying advanced scientific methods to optimize article demand forecasts and customer promotion targeting for an exclusive online fashion club. Master's/PhD in quantitative field and industry forecasting experience required. Work from abroad, employee shares program.
Anforderungen
- Master degree, PhD, or related quantitative discipline
- Strong foundation in statistics and machine learning
- Command of causal inference as a plus
- Industry experience in developing forecasting models
- Knowledge of state-of-the-art forecasting practices
- Bias for simplicity in technical methods
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock self and request support
- Deep proficiency in Python, SQL, and PySpark
- Commitment to high coding standards
- Experience guiding colleagues and organizing initiatives
Aufgaben
- Refine the article demand forecast engine
- Co-own the scientific roadmap for forecasting
- Design and implement advanced experimentation frameworks
- Measure the causal impact of CRM campaigns
- Build models to optimize customer promotion targeting
- Directly influence marketing investment and value attribution
- Prototype and productionize demand forecast solutions
- Communicate technical results to diverse stakeholders
- Manage the full algorithm development cycle
- Iteratively improve models using new data sources
- Build model pipelines using Python, R, or SQL
- Mentor junior scientists to foster continuous learning
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- PySpark
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
Workation & Sabbatical
- Work from abroad
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% fashion beauty discount
- 30% Lounge discount
- External partner discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Noch nicht perfekt?
- ZalandoVollzeitmit HomeofficeManagementBerlin
- Zalando Payments GmbH
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Senior Applied Scientist - Partner Tech(m/w/x)
Applying advanced scientific methods to optimize article demand forecasts and customer promotion targeting for an exclusive online fashion club. Master's/PhD in quantitative field and industry forecasting experience required. Work from abroad, employee shares program.
Anforderungen
- Master degree, PhD, or related quantitative discipline
- Strong foundation in statistics and machine learning
- Command of causal inference as a plus
- Industry experience in developing forecasting models
- Knowledge of state-of-the-art forecasting practices
- Bias for simplicity in technical methods
- Excellent verbal and written communication skills
- Curious and self-starter mindset
- Ability to unblock self and request support
- Deep proficiency in Python, SQL, and PySpark
- Commitment to high coding standards
- Experience guiding colleagues and organizing initiatives
Aufgaben
- Refine the article demand forecast engine
- Co-own the scientific roadmap for forecasting
- Design and implement advanced experimentation frameworks
- Measure the causal impact of CRM campaigns
- Build models to optimize customer promotion targeting
- Directly influence marketing investment and value attribution
- Prototype and productionize demand forecast solutions
- Communicate technical results to diverse stakeholders
- Manage the full algorithm development cycle
- Iteratively improve models using new data sources
- Build model pipelines using Python, R, or SQL
- Mentor junior scientists to foster continuous learning
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- PySpark
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
Workation & Sabbatical
- Work from abroad
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% fashion beauty discount
- 30% Lounge discount
- External partner discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
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?
- Zalando
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