Data Scientist - Machine Learning

Orange - Nasr City, Cairo

71
Applicants for
1 open position
4
Seen
Experience Needed:
More than 5 years
Career Level:
Experienced (Non-Manager)
Job Type:
Full Time
Salary:
Confidential
Education Level:
Bachelor's Degree at least
Languages:
English
Vacancies:
1 open position
Travel Frequency:
Minimal travel
About the Job

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 organization 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

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
About this Company

Orange is one of the world’s leading telecommunications operators with sales of 40 billion euros in 2015 and 156,000 employees worldwide at 31 December2015, including 97,000 employees in France. Present in 28 countries, the Group has a total customer base of 263 million... (More)

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