Data Scientist (m/f) for MoneyMap

Berlin, Germany

MoneyMap is an international FinTech startup of FinLeap, a company-builder based in Berlin. MoneyMap is the first digital financial aid that automatically reduces “running” costs. Our engine recognizes contracts in your account movements, compares tarifs and reveals where you spend too much money and helps you to switch suppliers and to cancel in order to save costs. To make MoneyMap successful, we focus on user-centered design, data protection and data security.

The amount of data, as well as its diversity and complexity, is steadily increasing in context of digitalization. As a result, statistical data analyses are becoming increasingly important. Within this scope we are looking for a Data Scientist. 

Your tasks

  • Your core activity is the preparation and provision of transactional and account-based data using data mining and multivariate analytical methods to turn our big data into valuable and actionable insights
  • You explore large volume of data, propose queries, evaluate your findings and develop suitable recommendations for business decisions
  • In our Fintech Startup, you will be able to create recommendations for our customers to help them make better (financial) decisions together with the rest of our fantastic team of Kontodaten
  • You analyze and visualize our customer and sales data and carry out ad-hoc evaluations and analyzes which serve as profound basis for business decisions

Your profile

  • You enjoy analyzing large amounts of transaction data
  • You have at least 2 years of professional experience and good know-how from the field of data analysis as well as working with different datasets of different sizes and shapes
  • You gained first experience in data warehousing, OLAP databases, business intelligence and reporting tools, as well as in the preparation and analysis of large data (big data)
  • Ideally, you have already gained initial experience with bank-related data (for example, a bank or a savings & loan)
  • It would be nice if you would be familiar with Analytics software like R, SPSS Modeller, SAS Enterprise Miner, SAS Stat or comparable products from other manufacturers or if you already gained first knowledge in the application of multivariate statistics, the methods and procedures of data mining and the development of prediction models
  • You are fluent in German (level B or better) and English and have fun working in cross-functional, international teams
  • You are passionate about big data and about staying up-to-date with all the latest cutting-edge technologies

About us

  • We connect technology-savvy entrepreneurs with industry leaders and have access to a well-established network in the global digital startup scene
  • We build a diverse community that is entrepreneurial, execution-focused and dedicated
  • We believe in potential and our employees fuel the company culture - we care about and listen to our people
  • We love to celebrate success
  • We provide rewarding growth, learning and career opportunities in a performance-driven environment