Data Scientist, Product Data Group

On our path to becoming the world’s favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace our atmosphere and defy their own expectations.




We are looking for a skilled and driven data scientist that is eager to make an impact and create value by leveraging data and machine learning.


You will join Product Data and the CSS Matching team and work side by side with other data scientists, software engineers, and product owners, to deliver on high-impact initiatives that support our mission of empowering consumers to make well-informed purchase decisions by providing comprehensive and accurate product data.
Minimum qualifications
Strong foundation in computer science, software engineering and machine learning.
2+ years of experience working as a data scientist / engineer in a customer-faced product company, preferably within E-commerce or retail.
Experience of applying and developing algorithms and methods for classification, regression, NLP and text embeddings, similarity learning, recommendations, and personalization.

Preferred qualifications
Python / TensorFlow / TF-serving
SQL
AirFlow
AWS / SageMaker

Responsibilities
Develop machine learning based features and services for increased automation and improved user experience.
Design and implement machine learning models and algorithms for, e.g., classification, similarity search, entity extraction and similar
Design and implement pipelines and services for pre-processing, training, and serving of machine learning models and algorithms.

To apply, send us your CV or LinkedIn profile in English.


Please note that we are not able to offer relocation support for this position.
We love and appreciate a close team collaboration within the Search & Compare Group, and we meet at the Stockholm office, located at Sveavägen 46, at least once a week


Check out some of our work at https://github.com/klarna
To apply, send us your CV or LinkedIn profile in English.




What we offer:


Diversity & Community
With our diversity of skills, perspectives and backgrounds, we can create, innovate, and disrupt like no other. Diversity is part of who we are, and essential to our success.


Ownership & Impact
Here, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.


Trust & Collaboration
Successes and failures are won together at Klarna in a melting pot of teams. Win, lose, and learn, we’re on this path together.


If you love what you do, you should love where you do it. We appreciate that everyone’s different and has their own preferences of where and how to work. We genuinely believe in the power of regular face-to-face interactions in building close connections with our teams, but we also strongly believe people can work effectively remotely. This means that combining both is the key to success.


At Klarna, You can choose between working from the office, remotely within your employment country, or even outside of it for up to 20 working days per year. Flex it up!


Challenges & Rewards
We take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.


About Klarna
Since 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 150 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by saving them time and money while helping them be informed and in control. Over 450,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. Klarna has over 6,000 employees and is active in 45 markets. For more information, visit Klarna.com


It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender, identity, ethnicity, sexual orientation, disability status or religion. Please refrain from including your picture and age with the application.