Staff Data Engineer (all genders)
Job Summary
- Development and evaluation of statistical models and algorithms for complex marketing issues
- Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization
- Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action
- Linking and using the content of data from tracking systems and other reporting sources
- Support in the further development and testing of performance-relevant (attribution) models
- Initiation and further development of prediction and classification models using machine learning algorithms
Qualifications :
- You bring at least seven years of hands-on experience in Data Science ideally in an agency e-commerce or performance-driven environment
- You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus
- You are proficient in SQL and either Python or R (both are a bonus)
- Experience with Dagster or comparable data orchestration tools is highly appreciated
- You are naturally curious enjoy exploring new topics statistical methods and emerging technologies and stay up to date with current technical developments
Additional Information :
Remote Work :
No
Employment Type :
Full-time
About Company
SCAYLE is one of the fastest-growing enterprise commerce platforms in the world and empowers B2C brands and retailers to create outstanding customer experiences with one unified backend. SCAYLE’s headless and composable architecture is based on an API-first approach and is continuousl ... View more