Data Scientist

As a Senior Data Science Engineer, your role will involve leveraging advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. Your technical expertise in data analysis, machine learning, and project management skills will be crucial for success in this role. - Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. - Conduct statistical analyses to validate models and ensure their effectiveness. - Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. - Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. - Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. - Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. - Ensure data integrity, privacy, security, and compliance with industry standards. Qualification Required: - Advanced degree in Data Science, Statistics, Computer Science, or a related field. - Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. - Proficiency in programming languages such as Python or R and strong SQL skills. - Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. - Expertise in cloud platforms such as AWS or Azure.,