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Orange este ceea ce suntem si ceea ce facem, în fiecare zi
În lume sunt peste 123 de milioane de oameni pe care îi despart distanţe, care vorbesc limbi diferite şi au moduri de viaţã diferite.
Dar toţi au ales acelaşi lucru: sã comunice aşa cum simt, sã priveascã cu deschidere şi optimism spre viitor.
Pe toţi îi apropie Orange, indiferent dacã trãiesc în Marea Britanie, Franţa, Elveţia, Belgia, Austria, Spania, Olanda, România , Moldova, Polonia, Slovacia, Rusia, Statele Unite ale Americii, China, Coreea, Japonia, India, Vietnam, Botswana, Camerun, Republica Dominicană, Egipt, Nigeria, Guineea Ecuatorială, Guineea Conakri, Guineea Bisau, Coasta de Fildeş, Uganda, Kenia, Republica Central Africană, Madagascar, Mali, Insulele Mauritius, Caraibe, Noua Caledonie, Reunion, Senegal, Vanuatu, India, Vietnam, Iordania, Bahrein.
Orange este brandul sub care France Telecom furnizeazã servicii de comunicaţii mobile, Internet şi televiziune. Grupul France Telecom este unul dintre liderii mondiali în servicii de telecomunicaţii, cu peste 183 de milioane de clienti pe cinci continente.
Creativitatea, îndrãzneala, dinamismul, deschiderea, grijă pentru detalii, consecvenţa definesc Orange în tot ce face.
Orange înseamnã cã vom schimba tiparele şi ne vom dezvolta în continuare pentru a-ţi oferi serviciile de calitate de care ai nevoie, inovaţie şi transparenţã.
În ceea ce facem, la Orange România, vom contura în fiecare zi mai clar ce înseamnã acest univers şi care sunt beneficiile pe care le aduce.
Te invitãm sã experimentezi Orange şi avem încredere cã împãrtãsim aceeaşi convingere: viitorul este într-adevãr senin.
The position in a nutshell:
We are looking for a Data Scientist who is passionate about applying Advanced Analytics techniques to generate business value. The Data Scientist will work cross-functionally closely with all the main stakeholders in Orange Romania (Technology, Finance, Marketing, Sales, HR etc.) in order to successfully build and operationalize E2E advanced analytical models and applications underpinning business use cases.
The position is part of the Advanced Analytics / Core Data Science Team, inside Marketing Data Intelligence unit.
Main responsibilities and activities:
Solve a large pool of business problems articulated in the form of the value generating use cases, by leveraging mathematical, statistical and econometric techniques to perform trends analysis, identify patterns and correlations, etc.
Lead processes of analytics value use cases identification, financial valuation and benchmark across different business units, acting as business partner and liaising with analysts, product owners and business owners
Munge, mine, wrangle and analyze structured and unstructured data from company databases, either primary systems databases, Data Warehouse and Big Data infrastructures or other external data sources; support the data engineering process for data structuring, modeling and ingestion across a variety of data sources
Apply Advanced Analytics techniques to build prototype models; apply experimentation techniques (A/B testing, multivariate testing, etc.) to learn and adjust iteratively for continuous improvement of models performance
Drive the E2E operationalization and integration of the prototype analytical models into the existing Orange Romania IT ecosystem of applications, databases and other systems and/or platforms
Manage a pipeline of concurrent running models in batch or real-time mode, as well as the Advanced Analytics toolkit, proprietary and open source
Functionally document models in the Advanced Analytics knowledge base
Coordinate with different functional teams to implement new data models
Develop Advanced Analytics competences and capabilities within the team and other functional areas across the company
The ideal candidate needs to have:
1. Key Technical Skills:
Mastery of Advanced Analytics techniques & algorithms (descriptive, predictive, causal, prescriptive and cognitive) with strong focus on applicability in solving different business problems
o Full range of Machine Learning, AI/Deep Learning and neural nets, Reinforcement Learning, Natural Language Understanding & Processing, Text/Speech Analytics, etc.
Knowledge of mathematics statistical techniques and concepts (regressions, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Advanced data mining & extraction skills using SQL and PL-SQL
Model prototype building using open source languages – Python and R, as well as enterprise data science tools - SAS Viya/Enterprise Miner or IBM SPSS
Databases know-how, such as Oracle Data Warehouse, Hadoop Big Data/NoSQL databases
Agile/Scrum and Waterfall Project Management
Microsoft Office suite, i.e. Excel (including functions, pivot tables, graphs, etc.), PowerPoint
2. Key Soft Skills:
Strong communication (oral, written), storytelling and analytical skills, high degree of accuracy and attention to details; ability to quickly grasp new concepts, understanding solution architecture and involvement in system design
Open minded and able to adapt to frequent changes; can do’ attitude, proactivity
Team player eager to work in a fast-paced IT&C environment in Agile cross-functional setups
Autonomous and problem-solving oriented gives multiple alternatives when asked to solve a problem (including anticipation and problem definition skills)
Openness and desire towards business understanding and learning
Strong presentation skills and customer centricity; capacity to translate in natural language the results of a complex algorithm and explain them to business owners
3. Education & Experience
Min. 1 year in an Advanced Analytics role or similar experience
Fluency in English (oral and written)
Technical University degree or background preferred – e.g. majoring in Computer / Data Science, Applied Mathematics - Statistics, IT, Engineering field (Ph.D. or MSc a plus)
Nice to have (not mandatory, but any one of them considered a plus):
Knowledge of Telecom industry, market and businesses, corresponding data models and/or previous data modeling experience
IT&C Business Analyst or Data Analyst background
Business Intelligence & data visualization using SAP Business Objects, Tableau and/or QlikView
Integration and automation coding - APIs and Web services design and build
Know-how of software development lifecycle, techniques such as TDD/BDD/CI-CD
Decision-making and decision intelligence
Data extraction and processing skills, using Map Reduce, Pig, and/or Hive; experience with Spark and Scala languages