Posted:18 hours ago|
Platform:
Work from Office
Full Time
The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills.
Data Analysis and Modeling: 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.
Machine Learning Development: Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis.
Telecom-Specific Analytics: Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value.
ETL Processes: Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources.
Collaboration: Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency.
Data Governance: Ensure data integrity, privacy, security and compliance with industry standards
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.
Tetriq Solutions
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