Big Data Scientist in Bucuresti

Job ResponsibilityAbout the role: Co-creating Advanced Analytics products that provide actionable business insight to Vodafone and its stakeholders. Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology and data and customer functions. Contributing to the wider community to enable an advanced analytics capability across Vodafone globally. Adapt the global algorithms to local market. Gather and raise local requests to global community. Main responsibilities: Uses a variety of datasets to test hypotheses, discover hidden relationships and provide actionable insights to Vodafone’s businesses Designs, develops & tests analytic models to industrialise insight into operations to solve real business problems Uses data visualisation to engage audience in a compelling way, enabling effective storytelling Delivers key packages of work, on time and in a collaborative manner to meet the needs of business customers Works in partnership with Technology and local BI and analytics teams to agree on pragmatic means of data provision to support use cases Works transversally with interdepartmental teams in order to deliver value through data We are looking for: Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical modelling expertise) Experience manipulating and analysing large and complex datasets Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred) Good interpersonal communication and presentation skills Ability to work in a fast-paced environment across multinational functional teams Analytical and expansive thinking with a strong desire to deliver and develop Technical / professional skills: Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence, Social Sciences, Data Journalism, or related fields Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL) Proficiency in at least one relevant programming language: Python, Scala, MapReduce, Mahout, Java, C++ Expertise in major statistical modelling software packages (e.g., R, SAS) and multivariate techniques (e.g. k-means segmentation, multiple regression, factor analysis, time-series forecasting) Experience in digital data sets, e.g., social listening, social network analysis) Familiarity with visualisation tools (e.g. Tableau, Qlik, D3) Exposure/interest in machine learning