Data Scientist

  • Numbrs / Centralway
  • Zürich, Switzerland
  • Oct 02, 2017
Full time Data Information Technology

Job Description

About Centralway

Centralway Numbrs is a customer-centric financial services company. It enables its customers to manage their existing bank accounts and personal finances and to buy any financial product from every provider at the best possible price. Centralway Numbrs is not a bank and will not become a bank. Centralway Numbrs is headquartered in Zurich, Switzerland and employs 100 people. 1.5 million bank accounts are currently managed through the app in Germany and it is the #1 bank-independent banking app on iOS and Android.

This role is based at Centralway Headquarters, Zürich.


Your responsibilities will include analysing large data sets to gain new insights and find patterns, in particular related to product and business development. Through your understanding, restructuring and optimal processing of the data, you will help engineers and decision makers throughout the organisation to analyse and understand our data.

Together with engineering teams, you will gain access to new data sets and deliver insights which result in the production of new, optimised algorithms. You will also analyse and optimise existing data processing algorithms that directly result in product features.

You will collaborate in initiating, managing and supporting technical projects, in particular the adoption and deployment of distributed Big Data processing frameworks at Centralway. You will remain up-to-date with the latest technologies and trends, understanding their benefits and limitations when furthering the development of the company.

Interaction with other teams will be a core part of your duties, consulting and supporting the Centralway stakeholders in all data processing questions. Through positive and helpful reviews, you will become a part of the technical process.


  • University degree in Computer Science or Engineering
  • A minimum 5 years of work experience
  • Ability to design, develop and deploy end to end data pipelines that meet business requirements and use cases
  • Data ingestion using distributed technologies such as Kafka, RabbitMQ, AMQP, or similar
  • Streaming analytics and complex event processing using Storm, Flink, IBM InfoStreams, or similar technologies
  • Strong expertise in Apache Spark and ETL/ELT technologies to process TBs of data daily, across hundreds of continuously running jobs
  • Experience building Machine Learning systems
  • Able to demonstrate strong skills in programming/scripting languages such as Python, Scala, Java and R and Machine Learning libraries such as scikit-learn, MLib etc...
  • Experience with statistical analysis
  • Deep understanding of how to design high-performant data models for multiple NoSQL data stores (file stores, wide column databases, key-value stores, etc.)
  • Hands-on experience with Drill, Hive, Impala, Presto, and similar tools for SQL-like exploration of large-scale data sets
  • Aptitude to perform R&D and learn new technologies and work in self-motivated model

Our Office

Centralway expects passion and commitment from our employees in order to reach our goals. Our unique working environment has been tailored to this purpose:

  • Café and restaurant
  • Air-conditioned cinema
  • Free breakfast and lunch buffets
  • Fitness studio
  • Many extra perks and benefits