Key responsibilities
Lead Network data science team; NW data engineers & NW data scientists.
Translating NW complex datasets into key strategy insight and powerful capabilities to the business
Develop Machine Learning /AI models aiming to improve network planning and optimization.
Identify new analytics trends and opportunities to drive the innovation across VF NW..
Identify new data sources and evaluate emerging technologies for data discovery usage.
Delve into data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships and useful information
liaise with design and development and support teams to help them in product evolution and troubleshooting, by providing insights both upon request or in a proactive way
Core Competencies, Knowledge And Experience
Expert in Mobile RAN optimization and/or Planning.
Data science experience including deployment of machine learning models and algorithms in order to analyse extremely large volumes of structured and unstructured data
Experience with leading visualisation tools (e.g. Tableau, QlikSense, CartoDB, deck.gl and MapBox....)
Understanding how to integrate multiple data sets and ability to link and mash up distinctive data sets to discover new insights
Experience working in large-scale multi tenancy big data environments;
Must Have Technical / Professional Qualifications
Expert level experience with Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn); desirable experience with Cloudera distribution; experience with similar cloud provider solutions also considered (AWS, GCP, Azure)
Programming skills and experience in, machine learning and statistical analytics tools such as Python, R, Java, Ruby, Pig or SQL, NOSql, TensorFlow , Mahoot, SAS,…
English proficiency
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