Senior Data Scientist
1 tydzień temu
- Python
- Git
- SQL
about-project :
- Do you want to play a key role in revolutionizing the future of finance? Join Klarna - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily As a pioneer in modern payment solutions, Klarna is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options.
- We're seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can't wait to meet you
responsibilities :
- -> to develop advanced credit risk models for Client's main product, focusing on card origination and limit management to ensure continued success across global markets;
- -> to enhance underwriting processes and the customer experience by leveraging cutting-edge machine learning techniques;
- -> to develop, deploy, and maintain state-of-the-art predictive models, creating robust end-to-end data pipelines within Clients's cloud environments;
- -> to collaborate with a diverse team of experts from around the globe, bringing your unique perspective to the table and learning from others.
requirements-expected :
- -> +5 years of experience as a data scientist or similar
- -> Experienced in credit or fraud risk, portfolio management, banking, finance, model validation, or product analytics;
- -> Strong business acumen and product-oriented thinking;
- -> Strong communication skills, with the ability to explain technical topics to audiences with varying levels of understanding and collaborate effectively with underwriters and data science colleagues on shared challenges;
- -> An academic background in a highly technical, numerate subject (e.g., Mathematics, Physics, Engineering, or Economics);
- -> Experience developing classification models with machine learning techniques;
- -> Proficiency in Python, SQL, and Git, with an understanding of the concepts behind cloud computing technologies;
- -> A deep understanding of the theoretical foundations behind classical and modern machine learning models and algorithms, such as generalized linear models, random forests, ensemble methods, and deep neural networks).
offered :
- + Great opportunity for personal development in a stable and friendly large multinational company;
- + Start-up mentality, small agile teams;
- + Global Reach: Impact millions with seamless shopping and payments;
- + Career growth and additional education.
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