Unlock Opportunities in Data Science

2 days ago

Muscat, Muscat, Oman beBeeData Full time 4,500 - 6,000

Job Title: Data Science Professional

 

Vodafone in Oman is driving development across sectors, including economic and educational ones, aligning with Oman Vision 2040.

 

We aim to 'Connect for a Better Future,' underpinning our purpose. Our solutions positively impact society by connecting everyone in Oman for a better future.

 

As a Data Science Engineer, you will work in a collaborative environment where talented individuals create Oman's happiest workplace.

 

The role involves managing large data volumes to improve Customer Experience & business decisions. You will participate in the data lifecycle, including collection, cleansing, integration, analysis, modeling with machine learning algorithms, visualization, interpretation of models and results, and reporting.

 

Key responsibilities and decision ownership:

  • Apply statistical methods to solve specific business problems.
  • Develop new data sources, test model enhancements, and fine-tune model parameters to enhance methodologies.
  • Design and develop automated forecasting systems.
  • Construct customer-facing reporting tools to provide insights and metrics that track forecasts.
  • Evaluate models' quality, ensuring they are well-developed, tested, trained, and implemented.
  • Maintain data integrity and dependability for analytical purposes through processing, cleansing, and verification.
  • Select features for data extraction, including constructing and optimizing classifiers using machine learning methods.
  • Explore internally and externally sourced data to uncover insights and correlations.
  • Manage data for constructing analytical systems.
  • Support data science adoption across the organization, including managerial, executive, and operational levels.
  • Handle Data Lifecycle & Quality Assurance, including data collection, cleansing, integration, and validation across logs, Data Lake, Hadoop, and Greenplum environments.
  • Ensure end-to-end data flow reliability with checkpoints, retries, and alerting via Prometheus/Grafana.

 

Required skills and qualifications:

  • Strong data analytics skills.
  • Ability to translate data into insights identifying opportunities and threats.
  • Independent work capability.
  • Understanding of industry standards and best practices like ITIL, eTOM, ISO 20000, and ISO 27001.
  • Experience defining and implementing key operational processes in process management tools, such as event, incident, change, problem, and service management in the telecom industry.
  • Service Management and Service KPIs/KQIs understanding.

 

Key performance indicators:

  • Data discovery.
  • Recommendations made.
  • Near real-time customer experience tracking and monitoring dashboards and reports.
  • Financial value generated.

 

Must-have technical/professional qualifications:

  • Bachelor's degree in engineering or information technology from a recognized university or equivalent.
  • At least 3 years of experience in similar technology operations, managed services environments, or DevOps environments.
  • Proficiency in Python, Scala, SQL.

 

Technical Requirements:

  • Business Intelligence Software.
  • Machine Learning Algorithms.
  • SQL Databases.
  • Automation Tools.
  • Cloud Platforms.

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