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Are you a data scientist looking for more data on consumer purchasing patterns? Do you thrive when technology meets business? Are you like us fired up when the things you build have real impact?

In this role within the Data & Analytics team at Qliro, you will focus on solving real problems for the business and our customers. The team works in the hybrid area between data science, data engineering and software engineering, employing techniques and tools from different tech stacks over time. Currently we are working on Airflow, Snowflake, Kafka, Python, Qlik Sense, Gitlab, Docker and Docker Swarm, but that obviously changes over time. Through the work of you and your team, you will not only work on exciting problems, but also make a huge difference in the day-to-day life of other people at Qliro as well as for our customers.

Technology and Data is at the core of any Fintech - the same goes for Qliro. In our way of working we have autonomous teams with end-to-end ownership of their assets. This means that we are working with continuous delivery (CI/CD) of our core business solutions. In combination with our infrastructure-as-code setup, this means less dependencies on others to get the job done and thus more abilities to have impact with the things you build.

Qliro has a track record of delivering new products and services at an unmatched speed. We are active in an exciting intersection of the e-commerce, payment, and financial services markets. We target both leading online merchants and millions of Nordic consumers seeking superior digital payments and consumer finance products.

Who we are looking for someone who has:

- A drive towards understanding data and how it relates to Qliro’s products and the problems you are trying to solve
- A Degree in computer science, mathematics, engineering, or similar
- Self-starter abilities to see solutions to problems everywhere
- Solid knowledge in Python and SQL
- Experience from - Airflow or RPA-based solutions
- R/Scala/Spark/Kafka/Redis/ELK
- CI/CD pipelines and containers with Docker and Docker Swarm
- AWS and its ML ecosystem is a big plus

- Fluent in spoken and written English
- A valid work permit within the European Union

WOW in everything we do

Qliro offers a dynamic and fast-paced Fintech environment with teams of driven and flexible individuals. We thrive on challenges, personal growth and you will be able to excel within the company. We have been implementing agile ways of working from the get-go, evolving our ways of working over-time to constantly improve. Our software engineering teams are moving towards taking on a full end-to-end responsibility for their assets, and with the changes we are doing to create a fully programmable infrastructure as well as enabling use of Cloud, we are ready to move towards full-circle end-to-end ownership. This reduces dependencies between teams and helps us to move fast without breaking things.

We have a learning and development-focused environment with an emphasis on knowledge sharing and training. We work hard to create a workplace that is diverse and inclusive with employees from over 30 countries from all over the world.

We believe in the power of collaboration and empowering each other and we strive to create a wow experience in our way of working. We see our future way of working as a hybrid way of working with a mix of working in the office and working remote. We believe in the power of meeting each other in real life and want our office to be a space for collaboration and creativity, where we can meet in person and bring out the best in one another. Together, we will ensure we continue to create WOW in everything we do.

Detta är en jobbannons med titeln "Data Scientist" hos företaget Qliro AB och publicerades på webbjobb.io den 27 april 2021 klockan 08:50.

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