Senior Data Scientist

Milano, Lombardia
  1. Full Time
  2. IT/Technology
Data di pubblicazione:20 Dec, 2019

The role of Data Scientist is a key position within the Big Data & Advanced Analytics team at Vodafone Italy.

 We are looking for experienced Data Scientists to work closely with the Lead Data Scientist and the team of Data Scientists to explore Big Data Analytics opportunities in Vodafone Italy as well as supporting and capitalising on the Global Functional Team innovation initiatives. You will be working with key stakeholders within Vodafone Italy to generate hypotheses and supports the analytics modelling managers to create models that answer impactful business questions.

As Data Scientist your skills and qualifications will ideally include:

Machine learning Libraries – Spark ML, scikit-learn, xgboost, Tensorflow + Keras, GraphFrames

Working knowledge of Big Data statistical analytics tools (e.g. Python, R,Scala)

Experience in Big Data Analytics landscape and technology trends (e.g. Spark, Hadoop, NoSQL, SQL)

Familiar with leading visualisation tools (e.g. Tableau, Qlikview, Spotfire, D3.js)

Significant experience in Big Data analytics & deployment of models and algorithms into a commercial/consumer environment to analyse extremely large volumes of data

Ability to test hypotheses from raw datasets and draw meaningful conclusions

Deep and broad statistical modelling expertise in various domains

Good communication skills, with proven ability to work cross functional teams to translate business issues into potential analytics solutions

Master’s or Bachelor’s Degree in quantitative fields like Mathematics, Statistics, Physics, Economics, Computing and Engineering

As Data Scientist your main responsibilities will involve:

Translating complex datasets into key strategy insight and powerful capabilities, to the business
Design scalable machine learning algorithms able to generate actionable insights for internal and external business improvements
Participating in cutting-edge research projects in collaboration with Universities e.g. Deep Learning, Social Network Analysis
Support a global community of data scientists across countries and business streams
Identify new analytics trends and opportunities to drive the innovation agenda across countries
Identify new data sources and evaluate emerging technologies for data discovery usage
Be recognised as an expert in Big Data Analytics, advising on the suitability of Big Data products and solutions
Advise the analytics modelling managers on best practice methodology for Big Data Analytics
Delve into data from different systems, at different timescales, and in complex formats to discover hidden relationships and useful information
Advise on best practice Big Data Analytics methodology and processes for analytics insight generation, technology and data