Junior Data Scientist, Klarna Media Lab

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 a hypergrowth atmosphere and defy their own expectations.

The mission of Klarna Media is to advance Klarna One Media Platform by driving higher value for our consumers, merchants and publisher partners. Klarna Media is investing in building a state-of-the-art content marketing platform. The content delivery platform team is responsible for defining, innovating, and building performance content delivering products that facilitate product discovery for consumers, maximize merchant sales and increase publisher profits.

The Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from content relevance, content ranking and profit optimization.

Responsibilities

• Research, innovate and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured, and structured data.
• Experiment and process large-scale e-Commerce datasets using distributed computing platform, mining insights from data, discovering and building models that optimize towards various business goals and metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance, and ranking, measurement, and optimization.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize content performance.
• Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day.  Conduct large-scale A/B testing and offline/online experiments to evaluate the performance of new machine learning models which serve hundreds of millions of impressions per day.
• Work closely with leadership, product managers, and system engineers to continuously and collaboratively ship new models, algorithms, and improvements into production. Present business insights internally and externally.

Qualifications

• Experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, Clustering, Ensemble Methods, Deep Learning, Active Learning, Reinforcement Learning, etc.
•  Have strong implementation experience with at least one of the programming languages (Python, Java, etc.). Familiarity with AWS sagemaker will be a plus.
• Have strong hands-on skills in data wrangling over massive datasets using distributed computing platform
• Have strong written and oral communication skills
• Have a graduate degree in computational science with a lot of emphasis in Machine Learning and Data Science.
• Experience in online advertising, recommender system, search engine, natural language processing, e-commerce, or related areas.

What we offer:
Diversity & CommunityWith 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 & ImpactHere, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.
Trust & CollaborationSuccesses 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!  
Additionally, we’re providing each Klarnaut with a contribution and equipment to improve this flexible work life. Use it to glow up that personal home office space, or upgrade those work accessories.
Challenges & RewardsWe take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.
About KlarnaSince 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 90 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by helping them save time and money while better managing their cashflow and making informed decisions. Over 250,000 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. With over 5,000 employees, Klarna is active in 20 markets and is one of the most highly-valued private fintechs globally, with a valuation of $45.6 billion. 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.