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Sr. Data Visualization and Development Engineer

e-finance
Smart Village, Giza
Posted 4 years ago
23Applicants for1 open position
  • 3Viewed
  • 0In Consideration
  • 0Not Selected
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Job Details

Experience Needed:
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Job Description

Work responsibility:

  • Support company business services, sales, leadership and marketing teams with insights gained from analyzing company data.
  • Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
  • Use 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.
  • Ability to drive business results with their data-based insights.
  • Work with a wide range of stakeholders and functional teams.
  • Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company testing framework and test model quality.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Strong problem-solving skills with an emphasis on product development.
  • 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.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.

Job Requirements

Qualifications:

  • Bachelor's degree in computer engineering.
  • 5-7 years of experience manipulating data sets and building statistical models.
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript and APEX.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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