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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
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- EraneosVollzeitmit HomeofficeSeniorHamburg
- LAIQON AG
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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
Über das Unternehmen
ABOUT YOU
Branche
Retail
Beschreibung
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
Noch nicht perfekt?
- Eraneos
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg - LAIQON AG
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg - Simon-Kucher
Manager Data Engineering(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - q.beyond AG
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg - Artefact
Senior Data Scientist (Marketing)(m/w/x)
Vollzeitmit HomeofficeManagementEssen, Hamburg