A Big Opportunity for ...
1.Partner with stakeholders across the organization (CVM, Marketing, Sales, Network Operations) to understand business challenges and translate them into data-driven problems.
2.Design, develop, and implement machine learning models and algorithms to analyze large datasets from various sources (customer data, network data, call records, etc.).
3.Utilize data analysis tools (e.g., Python, R) and big data technologies (e.g., Spark) to clean, prepare, and analyze complex data sets.
4.Conduct exploratory data analysis (EDA) to identify trends, patterns, and hidden insights within customer and business data.
5.Develop and implement data pipelines for efficient data collection, processing, and storage.
6.Build and deploy data science solutions into production environments to ensure scalability and real-time decision-making capabilities.
7.Communicate complex data findings and insights to technical and non-technical audiences through clear reports, visualizations (e.g., charts, graphs), and presentations.
8.Stay up-to-date on the latest advancements in data science, machine learning, and big data technologies.
9.Recommend and implement new data science tools and technologies to enhance data analysis capabilities.
10.Collaborate with the BI team and other departments to ensure alignment between data science initiatives and overall business objectives.