(Senior) Data Engineer (m/f/d) - Finance Tech

ABOUT YOU GmbH; Hamburg; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading eCommerce company in Hamburg is searching for a Data Scientist with at least two years of experience. You will develop statistical models and analyze complex data to optimize performance. Proficiency in SQL and either Python or R is essential, along with an understanding of machine learning algorithms. Enjoy flexible working hours and a range of benefits including discounts, language courses, and a modern office environment.

Leistungen

40% discount on online shop

Flexible working times

Free sports courses

Subsidized public transportation ticket

Modern office in Hamburg

Qualifikationen

• At least two years of hands-on experience in Data Science.
• Initial experience with machine learning algorithms and data analysis methods.
• Proficient in SQL and either Python or R.

Aufgaben

• Develop and evaluate statistical models and algorithms for marketing issues.
• Analyze complex data to identify insights and optimization potential.
• Link data from various reporting sources.

Kenntnisse

Data Science experience

Machine learning algorithms

SQL

Python

R

Data orchestration tools

Jobbeschreibung

Overview

Our online fashion store ABOUT YOU is one of the fastest growing eCommerce players in Europe and has already won several awards. As a fashion and technology company, we work together towards our goal of making the shopping experience more inspiring and personal for our customers.

Responsibilities

• 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

Who you are / Qualifications

• You bring at least two 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

Benefits

• Grow together with one of the fastest-growing eCommerce companies in Europe
• Flexible working times
• 40% discount on our online shop
• Fresh fruits + drinks everywhere
• Language courses (German & English)
• Free sports courses & reduced price for a gym membership
• Subsidized public transportation ticket
• Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage
• State-of-the-art tech stack running on AWS
• Modern office in the city center of Hamburg
• International working environment and English as company language
• Company flats (subject to availability)
• Agile work environment (MOVE) and cross-functional teams
• Free access to Germany’s greatest developer conference code.talks
• Help in relocation and VISA process

YOU ARE THE CORE OF ABOUT YOU. We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.

We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you it is very easy to upload your application documents. :)