Senior Data Science Manager Msh

hace 3 días

Malaga, España Vodafone A tiempo completo

**.**:
Vodafone Group is launching its new technological HUB (MSH), an international center of excellence dedicated to research and development of technical solutions, such as Secure Networks, 5G and 6G development, Open RAN, IoT, MPN & MEC and UCC for Vodafone Business, platforms and enterprise solutions.

Come and join us to create the future together

The Senior Data Science Manager is a critical role for our Big Data & AI department, responsible for
- Exploring, identifying, and shaping NEW potential Big Data & AI use cases that bring proven commercial benefits, and use cases that can be scaled to all Vodafone Markets as part of our AI Factory.
- Working with Group and Local data scientist to measure commercial value created by existing use cases
- Managing and owning delivery of agreed Big Data & AI use cases in both Group and local level

The success of this role will depend on trusted collaborations, negotiations and clear communications with Global Senior stakeholders in a variety of business areas.

What you bring:

- 8+ years’ experience in developing ML models from Big Data in a commercial /consumer / digital environment, and 5+ years’ experience in measurement of realised benefit using AI/ML
- Cloud experience.
- Proven demonstration of delivering business value from machine learning models across multiple lines of business
- ML Engineering experience across all ML phases including putting models into production - experience with CI/CD and containerization (e.g. Docker, Kubernetes, etc)
- Very strong business acumen and experience in global, matrix organisations, ideally in the Telco industry.

Professional qualifications required:

- Bachelor’s Degree level in quantitative fields such as Maths, Statistics, Ops Research, Computer Science Engineering or Artificial Intelligence, Economics, Finance, etc.
- Proficient in Python.
- Proficient in statistical packages and ML/DL libraries/frameworks (e.g. TensorFlow, PyTorch, Dynet, Pandas, SciPy, Sklearn etc.).
- Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL).
- Software development skills e.g. unit testing, Git, design documentation.

Why Vodafone?
At Vodafone we are concerned about being a company committed to diversity as an engine of change. We are proud to offer equal opportunities regardless of race, nationality, cultural origin, sex, age, marital status, sexual orientation, gender identity, disability and religious or political beliefs.
LiHybrid
Ref: 200374

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