Dein persönlicher KI-Karriere-Agent
(Senior) Data Engineer - Finance Tech(m/w/x)
Developing statistical models and algorithms for marketing challenges in circular fashion tech. Two years hands-on Data Science, SQL, Python/R, and Dagster experience required. 40% online shop discount, free sports courses.
Anforderungen
- At least two years of hands-on experience in Data Science
- Initial experience with machine learning algorithms and understanding of data analysis methods
- Proficiency in SQL and either Python or R
- Experience with Dagster or comparable data orchestration tools
- Curiosity and enjoyment of exploring new topics and technologies
Aufgaben
- Develop and evaluate statistical models and algorithms for marketing challenges
- Analyze complex data to uncover insights and optimize performance
- Identify correlations between key figures and provide actionable recommendations
- Link and utilize data from tracking systems and reporting sources
- Support the development and testing of performance-related attribution models
- Initiate and enhance prediction and classification models using machine learning algorithms
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- R
- Dagster
Benefits
Flexibles Arbeiten
- Flexible working times
Mitarbeiterrabatte
- 40% discount on online shop
Snacks & Getränke
- Fresh fruits and drinks
Weiterbildungsangebote
- Language courses
Gesundheits- & Fitnessangebote
- Free sports courses
- Reduced price for gym membership
Öffi Tickets
- Subsidized public transportation ticket
Moderne Technikausstattung
- Free choice of hardware
- State-of-the-art tech stack
Modernes Büro
- Modern office in city center
Lockere Unternehmenskultur
- International working environment
Sonstige Vorteile
- Company flats
- Free access to developer conference
- Help in relocation and VISA process
Startup-Atmosphäre
- Agile work environment
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(Senior) Data Engineer - Finance Tech(m/w/x)
Developing statistical models and algorithms for marketing challenges in circular fashion tech. Two years hands-on Data Science, SQL, Python/R, and Dagster experience required. 40% online shop discount, free sports courses.
Anforderungen
- At least two years of hands-on experience in Data Science
- Initial experience with machine learning algorithms and understanding of data analysis methods
- Proficiency in SQL and either Python or R
- Experience with Dagster or comparable data orchestration tools
- Curiosity and enjoyment of exploring new topics and technologies
Aufgaben
- Develop and evaluate statistical models and algorithms for marketing challenges
- Analyze complex data to uncover insights and optimize performance
- Identify correlations between key figures and provide actionable recommendations
- Link and utilize data from tracking systems and reporting sources
- Support the development and testing of performance-related attribution models
- Initiate and enhance prediction and classification models using machine learning algorithms
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- R
- Dagster
Benefits
Flexibles Arbeiten
- Flexible working times
Mitarbeiterrabatte
- 40% discount on online shop
Snacks & Getränke
- Fresh fruits and drinks
Weiterbildungsangebote
- Language courses
Gesundheits- & Fitnessangebote
- Free sports courses
- Reduced price for gym membership
Öffi Tickets
- Subsidized public transportation ticket
Moderne Technikausstattung
- Free choice of hardware
- State-of-the-art tech stack
Modernes Büro
- Modern office in city center
Lockere Unternehmenskultur
- International working environment
Sonstige Vorteile
- Company flats
- Free access to developer conference
- Help in relocation and VISA process
Startup-Atmosphäre
- Agile work environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
ABOUT YOU
Branche
Retail
Beschreibung
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
Noch nicht perfekt?
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