Data Science Engineer

Role purpose:

Vodafone is Oman’s latest Network Operator. The presence of Vodafone in Oman will contribute to the development of all sectors, including the economic and educational sectors, and in line with Oman Vision 2040.

Our purpose is to ‘Connect for a Better Future ‘which underpins everything we do. Our solutions will positively impact society as we connect everyone in Oman for a better future. What we offer are market-leading customer experiences and innovative digital services.

We are looking for energetic self-starters to work in this 100% Omani owned, positive collaborative start-up environment, where key talents will create Oman’s happiest workplace. We are looking for individuals with an entrepreneurial mindset who get excited by challenges and constant change and truly want to positively impact the lives of our customers and the people of Oman.

A data science Engineer manage large volumes of data and enables Vodafone for better Customer Experience & business decisions. The tole participates in data lifecycle, data collection, cleansing, integration, analysis, modelling with machine learning algorithms, visualization, interpretation of the models and results and reporting.

Key accountabilities and decision ownership

• Responsible for executing statistical methods to solving specific business problems
• Responsible for developing new data sources, testing model enhancements, and fine-tuning model parameters to improve upon existing methodologies
• Take active part in the design and development of automated forecasting systems
• Responsible for the construction of customer-facing reporting tools to provide insights and metrics which track forecast
• Ensure that the models are well developed, tested, trained, and implemented
• Ensure that the integrity and dependability of data for analytical purposes are processed, cleansed and verified
• Decide features for data extraction, which might include the construction and optimization of classifiers utilizing machine-learning methods
• Responsible for the accurate exploration of internally and externally sourced data to search for unseen insights and correlation
• Responsible for data management for constructing analytic systems
• Strongly supports the adoption of data science and well improved analytics across the whole organization, and also at managerial, executive, and operational stages.
• Data Lifecycle & Quality Assurance
• Data collection, cleansing, integration, and validation across logs (Logstash/Kibana), Data Lake, Hadoop, and Greenplum environments.
• Ensure end-to-end data flow reliability with checkpoints, retries, and alerting via Prometheus/Grafana.
• Develop custom connectors, schema migrations, and housekeeping tasks.

Core competencies, knowledge and experience:

• Strong data Analytics Skills
• Translates data into insights that identify opportunities and highlights threats to the business.
• Be able to work independently
• Good understanding of industry standards & best practices like ITIL, eToM, ISO 2000 and ISO2700.
• Working experience on the key Operational processes definition and implementation in the process management tools, like, event, Incident, change, problem and Service Management for Telcom Industry.
• Good Understanding of Service Management and Service KPIs / KQIs

Key performance indicators:

• Data Discovery
• Recommendations made
• Near real time Customer experience tracking & Monitoring dashboards & Reports
• Financial value

Must have technical / professional qualifications:

• Bachelor’s degree in engineering or information technology from a recognized university or equivalent
• At least 3 years work experience in similar technology operations Managed Services environments or similar DevOps environments.
• Python, Scala,SQL