Senior Data Scientist - Consumer Growth

About Klarna
Klarna was founded in Stockholm, Sweden in 2005. Since then we've changed the banking industry forever. And now we're creating the world's smoothest shopping experience. We serve over 90 million consumers worldwide, and partner with 250,000 merchants – with a new merchant joining us every 8 minutes. Including some of the world's leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung and Lufthansa. Our offices are spread over 17 different markets, hosted by 4000+ employees from 100+ nationalities.
As Data Scientists, we are seeded throughout Klarna’s businesses, either in small technical teams owning a problem space, or embedded as experts in cross-functional teams containing Product Managers, Engineers, Designers and more. We work hard to build Data Science products that our customers will love, and we take great pride in owning models end-to-end, from prototyping to production.

As a Data Scientist in Consumer Growth, you will:

• Develop insights and segmentation models to deepen our understanding of our customers.
• Curate each and every consumer’s shopping experience by recommending the most valuable and personalized deals and offers available to them - at exactly the right moment.
• Drive incremental sales and volume to support the growth of our merchant partners.
• Further enhance your skills in practical Machine Learning and Software Engineering, by developing state-of-the-art predictive models, creating end-to-end data pipelines and deploying your systems in Klarna’s cloud environments.
• Collaborate with extraordinary people from all over the world, each with their own perspective, background, and expertise.

In order to be successful in this role, we believe that you will have:

• Experience related to marketing, advertising, content curation, recommender systems, or personalization.
• Experience developing predictive models with machine learning techniques.
• Experience working with Python, SQL and Git, and an understanding of the concepts behind cloud computing technologies.
• A deep understanding of the theoretical foundations behind classical and recent machine learning models and algorithms, such as generalized linear models, random forests, ensemble methods, and deep neural networks.
• Great communication, organization, and team working skills.
• A university degree in a highly technical, numerate subject (e.g. Mathematics, Physics, Engineering, or Economics).

Do you recognize yourself in the description? Please apply by sending in a CV in English.

Klarna is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Please refrain from including your picture and age with your application.