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Data Intelligence Engineer
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Job DescriptionThe Data Science team focuses on innovation, leveraging AI and machine learning to transform skill assessment, career development, and talent management. We create intelligent solutions that empower individuals and organizations to bridge the skills gap and achieve their full potential.Our team is looking for a skilled professional with expertise in data analysis, machine learning, and statistics. Key responsibilities include:Data Analysis & Interpretation – Analyze complex datasets to extract meaningful insights and actionable recommendations.Machine Learning Model Development – Design, develop, and deploy machine learning models for skill prediction, personalized learning recommendations, and intelligent matchmaking.Clustering and Segmentation – Apply clustering techniques to segment users based on skills, career goals, and learning preferences.Embedding and Similarity Analysis – Create and utilize embeddings to measure the similarity between skills, jobs, and learning resources.Statistical Modeling and Analysis – Apply statistical techniques to analyze data, test hypotheses, and validate model performance.Required Skills and QualificationsTo succeed in this role, you will need:A Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.Strong programming skills in Python, including experience with libraries such as scikit-learn, TensorFlow, and PyTorch.Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.3-5 years of experience as a Data Scientist or similar role.BenefitsThis role involves collaboration with engineers, product managers, and other stakeholders to define requirements, design solutions, and communicate results. Experience with cloud computing platforms such as AWS, Azure, or GCP is also desired.
