Data Scientist / Data Analyst - Network Operations Team (Bali-Based)

Join Fiberstar as a Data Scientist / Data Analyst in our dynamic Network Operations Team and play a pivotal role in optimizing network performance through data-driven insights. Based in the vibrant hub of Badung, Bali, this contract offers a unique opportunity to leverage your analytical skills in a cutting-edge environment.

As a Data Scientist / Data Analyst, you will work closely with our network operations team to monitor, analyze, and optimize network performance. You will use advanced data analysis tools and techniques to identify trends, patterns, and anomalies in network data, and provide actionable insights to improve network reliability and performance.

📋 Tanggung Jawab Pekerjaan

• Monitor and analyze network performance data using tools like Python, R, and SQL.
• Develop and implement data models and algorithms to predict network performance and identify potential issues.
• Create visualizations and dashboards to communicate insights to stakeholders.
• Collaborate with network engineers to implement solutions based on data insights.
• Stay updated with the latest advancements in data science and network technologies.
• Provide regular reports and presentations on network performance to senior management.
• Participate in cross-functional projects to improve network operations.
• Ensure data accuracy and integrity by implementing robust data validation and quality control measures.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 2-4 years of experience in data analysis or data science, preferably in a network operations context.
• Strong proficiency in Python, R, and SQL.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Knowledge of machine learning algorithms and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced, dynamic environment.

🛠️ Keahlian

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