Ahmedabad, Gujarat, India
Information Technology
Full-Time
Prodapt
Overview
Overview
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.
Responsibilities
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.
Responsibilities
- 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.
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