Data Scientist

bonify a Berlin-based FinTech Startup that enables customers to benefit from their credit scoring and financial We give customers free & easy access to their credit score and let them upload additional relevant Then we offer tools and personalized recommendations to help optimize our customer s financial

Founded in 2015 by key executives of McKinsey and Zalando, bonify has received significant funding from international leading VCs, , Mosaic Ventures and Ribbit Capital, and successful entrepreneurs, , Zalando founders and Raisin

Tasks

• Responsible for the full development cycle of models from data collection, cleaning, and feature engineering to prototyping and model selection to experimental evaluation to documentation and maintenance
• Build machine learning models to personalize product offerings to our customers
• Research and design advanced optimization algorithms for the assignment problem
• Develop and deploy scalable streaming models
• Automate re-calibrations and self-learning logic for deployed models

Requirements

• Passion for
• Proactive
• Bachelor s degree in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or equivalent)
• 2+ years of experience working as a Data Scientist including the end-to-end cycle (training, deploying, and monitoring), preferably in the lending industry or B2C e-commerce industry
• 2+ years of Python experience
• 1+ years of Spark or PySpark experience in the production environment
• Experience with big data technologies (AWS, Azure, etc)
• Experience with SQL
• English language is a must

Benefits

Our goal is to set up a great working Become part of the process and:

• Shape the future organization as a part of the Interdisciplinary and international founding team
• Take responsibility from day one
• Enjoy a variety of coaching and training opportunities
• Work in a thrilling and flexible agile startup environment
• Enjoy a workplace in the heart of Berlin with drinks, fresh fruit, kicker, ping pong, German classes

Interested?

Please send us your application including a copy of your CV, and the earliest start