Data Scientist - Machine Learning Engineer

August 30

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e-commerce • Customer financing • Payment solutions • ecommerce • Online payment solution

51 - 200

💰 Debt Financing on 2022-02

Description

• Data Scientist / Machine Learning Engineer responsible for advanced analytics, data analysis, and statistical modeling. • Build and maintain credit decision models, validate data source predictive power. • Collaborate with internal stakeholders and cross-functional teams to solve problems and create efficiencies. • Full-time remote position.

Requirements

• You have hands-on experience developing machine learning models and can prove it with previous projects (commercial projects, your portfolio at git repository or Kaggle competitions) • Experience with machine learning pipelines, data visualization, data validation, statistical testing, and presenting your findings to a non-technical audience • Relevant experiences in risk management (fraud/credit), consumer lending, consumer finance, and/or business growth are preferred but we appreciate all the areas where you’ve created a classification of regressions models • Understanding of machine learning techniques, such as logistic regression, and gradient boosting algorithms, a basic understanding of neural network architecture • Machine learning programming skill (Python, and SQL), knowledge of ML frameworks (scikit-learn, pandas, numpy, Keras/tf/PyTorch, matplotlib) • Basic cloud tools understanding (AWS, Google, Azure) • Self-driven with the ability to work in a self-guided manner • English is a must since we are an international team • Familiarity with data science frameworks like Kedro or MLflow is a big plus