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Data Scientist

Saudi Arabia

Job ID SNS-0614

Posted On
(1322 days ago)

Job type


  • Select features to build and optimize classifiers using machine-learning techniques.
  • Data mining using state-of-the-art methods.
  • Extend the company’s data with third party sources of information when needed.
  • Enhance data collection procedures to include information that is relevant for building analytic systems.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Do ad-hoc analysis and present clear results.
  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Conduct research to answer industry and business questions.
  • Leverage large volumes of data from internal and external sources to answer the business.
  • Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
  • Explore and examine data to find hidden patterns.
  • Automate work with predictive and prescriptive analytics.
  • Minimum 5-7 years of experience manipulating data sets and building statistical models.
  • Master’s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, 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.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Strong knowledge & experience required in several languages: C, C++, Java, JavaScript, etc.
  • Hands on 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, Digital Ocean, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders: Periscope, Business Objects, D3, ggplot, etc.
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