Data Scientist - Machine Learning

Orange Business Services - Heliopolis, Cairo

56
Applicants for
1 open position
9
Seen
1
Shortlisted
Experience Needed:
More than 5 years
Career Level:
Experienced (Non-Manager)
Job Type:
Full Time
Salary:
Confidential
Vacancies:
1 open position
About the Job

Data Scientist reporting to Head of International Business Support

Mission / Role purpose:

  • Data Scientist is a senior profile to support company vision with insights gained from analyzing company data. He/she will be using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
  • Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
  • Data Scientist should be able to drive business results with their data-based insights working with a wide range of stakeholders and functional teams discovering solutions hidden in large data sets to improve business results.
  • The data scientist will use their strong business sense along with an ability to communicate findings to both business and IT leaders in a way that can influence how an organisation approaches a business challenge

As a data scientist you'll need to:

  • Work closely with your business to identify issues and use data to propose solutions for effective decision making and drive business insights
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
  • Use machine learning tools and statistical techniques to produce solutions to problems
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Develop custom data models and algorithms to apply to data sets
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Present information using data visualization techniques
  • Horizon scan to stay up to date with the latest technology, techniques, and methods
  • Conduct research from which you'll develop prototypes and proof of concepts
  • Look for opportunities to use insights/datasets/code/models across other functions in the organization
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work
Job Requirements

Key result/decision areas (outcomes)

Knowledge and abilities

  • Experience in (or a willingness to get to grips with) database interrogation and analysis tools, such as Hadoop, SQL, and SAS
  • Strong problem-solving skills with an emphasis on product development
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Experience working with and creating data architectures
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications

Education, qualifications, and certifications:

  • Bachelor degree or higher in statistics, math, computer science and economics (or other relevant areas), or equivalent relevant experience with a demonstrable commitment to self-development
  • ITIL v3 foundation certification
  • Financial background is a plus
  • Optional: CMM/CMMI, PMP or PgMP or Prince2 or MSP (or internal PM certifications), Six Sigma certifications

Experience:

  • Minimum of 5 years of customer facing experience in the telecom or IT industry
  • Experience in working in an international environment with geographically distributed teams.
  • Experience at developing, documenting and optimizing processes
  • Experience in communication and reporting to senior management
About this Company

We are making business life easier, every day and all around the world As a global IT and communications services provider, Orange Business Services helps companies collaborate more effectively, operate more efficiently and engage better with their customers – connecting their... (More)

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