Data Scientist
Orange Business Services
Bucharest, Romania
1 zi în urmă

Financiar, IT

The position in a nutshell :

are looking for a Data Scientist who is passionate about developing and

applying Advanced Analytics techniques to generate business value.

Data Scientist will work cross-functionally closely with all the main

stakeholders in Orange Romania (Finance, Marketing, B2B, Sales &

Distribution, Technology, HR etc.), in order to successfully build and operationalize E2E applications underpinning business use cases , using predictive

analytics modeling.

position is part of the AI, Big Data

Automation vertical inside the Enterprise Data Management &

Analytics Division.

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

    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 / Data Science 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 Data Management & Analytics

    ecosystem of applications, databases and other systems and / or platforms

  • Manage
  • a pipelineof 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

  • Full
  • range of Machine Learning, AI / Deep Learning and neural nets, Natural Language

    Understanding & Processing, Text / Speech Analysis, etc.

  • Knowledge of mathematics statistical techniques and concepts (properties of
  • distributions, hypothesis testing, statistical tests and proper usage, model

    evaluation etc.) and experience with applications

  • Knowledge of ML algorithms (regressions,
  • classifiers, clustering, dimensionality reduction)

  • Model prototype building using open source languages Python or R, as well as enterprise data science tools - SAS Viya / Enterprise
  • Miner

  • Basic SQL / PL-SQL experience
  • Agile / Scrum Project Management
  • Microsoft Office suite, i.e. Excel
  • including functions, pivot tables, graphs, etc.), PowerPoint

    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

    Education & Experience

  • Technical University degree or
  • background preferred - e.g. majoring in Computer / Data Science, Applied

    Mathematics - Statistics, IT, Engineering field (PhD or MSc a plus)

  • Min. 2 years in a Data Science / ML
  • Engineer role or similar experience

  • Fluency in English (oral and
  • written)

    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

    modelling experience

  • IT&C Business Analyst or Data
  • Analyst background

  • Business Intelligence & data
  • visualizationusing SAP Business

    Objects, Tableau and / or QlikView

  • Integration and automation coding -
  • APIs and Web services design and build

  • Full-stack web development : PHP /
  • HTML / JavaScript, Django / Flask, etc.

  • Knowledge of the following Python
  • modules (pandas, numpy, sklearn, tensorflow / pytorch)

  • Experience with software versioning
  • systems such as git

  • Databases know-how,
  • such as Oracle Data Warehouse, Hadoop

    Big Data / NoSQL databases

  • Know-how of software development
  • lifecycle, techniques such as TDD / BDD, automated CI-CD, DevOps; ML pipelines

    and containerization (Docker, Kubernetes)

  • Decision-making and decision
  • Cloud computing
  • Data extraction and processing
  • skills, using Map Reduce, Pig, and / or Hive; experience with Spark and Scala

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