
Senior Data Scientist
Posted May 6

Posted May 6
This is a fully remote position, open to applicants in Colombia.
• Gain a comprehensive understanding of business requirements and convert them into technical projects.
• Identify suitable data sources and perform necessary data aggregations and feature engineering.
• Utilize Python programming to create visualizations, develop, and implement models.
• Maintain flexibility and openness to innovative concepts and alternative problem-solving approaches.
• Communicate results effectively to non-technical stakeholders, persuading them to adopt predictive models.
• Design, validate, and deploy advanced machine learning models aimed at predicting business outcomes and guiding strategic and operational decisions.
• Construct and assess predictive models for production systems, encompassing real-time scoring and model-driven product workflows.
• Evaluate model performance through A/B testing and other experimental techniques to enhance business results.
• Keep updated with industry-leading practices and cutting-edge methodologies in data science.
• Possess a Master's or Ph.D. in Statistics, Economics, or a related quantitative discipline.
• Demonstrate proficiency in SQL and Python programming languages.
• Have a thorough understanding of statistical principles and machine learning algorithms.
• Specifically, expertise in techniques such as K-Means, Linear Regression and GLM, Random Forest, GBM, XGBoost, and various segmentation methods is essential for daily tasks.
• Exhibit excellent communication abilities.
• Capability to engage in large-scale, cross-functional projects.
• A minimum of 2 years of experience in data science with a successful track record of delivering comprehensive, end-to-end data science projects is advantageous.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and continuing education.
• A collaborative working environment that fosters innovation.
• Comprehensive health benefits, including medical, dental, and vision coverage.
• Flexible work hours and the option for remote work.
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