lavori presso Vodafone in località Emirati Arabi Uniti

Business Area: Local Vodafone Business Unit

Full Time / Part Time: Full Time

Contract Type: Permanent

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

We are looking for a passionate, talented, and proactive “Senior Data Scientist” to join the Analytics Platform & Solutions Squad team as Analytics Tech-Product Manager. You will work on the Vodafone Analytics portfolio development and you will be responsible to drive the shaping of new products and vertical solutions and their evolution, defining the functional requirements and product portfolio roadmap. The right candidate will have the ability to perform in a fast, high-growth, highly evolving and multi-parties environments and strongly believes that team playing is one of the key approaches to win the challenge.

1. Accountable for proof-of-concept product testing, product portfolio development, deployment and lifecycle management, interacting and coordinating a team of data scientist, data engineer, solution architect, data quality assurance and delivery manager. The scope includes project management responsibilities with focus on prioritization and time management, product performance management, innovation and rationalisation;
2. Create and own market requirements specifications and business cases for the product(s). Responsible for taking services through the Group and Italian Gating process;
3. Work in close relationship with key stakeholders in Vodafone Italy (Big Data, Privacy & Legal, other Product Marketing squads, IT Technology and Network), Vodafone Group and external parties including suppliers and Business Partners;
4. Delve into data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships and useful information, and translate complex datasets into key strategy insights and powerful capabilities to the business;
5. Identify new analytics trends and opportunities to drive the evolution of the Vodafone Analytics Platform. This includes also identifying new data sources and evaluate emerging technologies for data discovery usage.

1. Minimum 3-5 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms. Previous experience in performing analytics on cloud platforms is required;
2. Technical Expert, with hands-on experience in cloud environments, Big Data Analytics landscape and architectures, ETL processes and statistics. Experience and knowledge of Spark, Python, GIS and Tableau is required;
3. Knowledge of process design and re-design methodologies, approaches and tools;
4. Past project management experiences with autonomy in delivering the project and proven ability to guide dev team members in improving their skill sets, motivate them and build the Vodafone Analytics’ Platform foundation for future growth. Adoption of agile methodology is a plus;
5. Excellent communication skills, with the ability to present technical results to non-technical audiences.

1. Master’s Degree in quantitative fields like Mathematics, Statistics, Computer Science, and Engineering;
2. Fluent English, both written and spoken, Spanish is a plus.

Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.