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Data Scientist

WSC
Giza, Egypt

Data Scientist

WSC
Giza, Egypt
Posted 23 days ago
128Applicants for1 open position
  • 6Viewed
  • 0In Consideration
  • 0Not Selected

Job Details

Experience Needed:
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Job Description

  • Data mining or extracting usable data from valuable data sources
  • Using machine learning tools to select features, create and optimize classifiers
  • Carrying out the preprocessing of structured and unstructured data
  • Enhancing data collection procedures to include all relevant information for developing analytic systems
  • Processing, cleansing, and validating the integrity of data to be used for analysis
  • Analyzing large amounts of information to find patterns and solutions
  • Developing prediction systems and machine learning algorithms
  • Presenting results in a clear manner
  • Propose solutions and strategies to tackle business challenges
  • Collaborate with Business and IT teams

Job Requirements

Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.

Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.

Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.

Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.

Experience with Data Visualization Tools like matplotlib , Tableau and must (Microsoft Power BI) that help to visually encode data

Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

Strong Software Engineering Background

Hands-on experience with data science tools

Problem-solving aptitude

Analytical mind and great business sense

Degree in Computer Science, Engineering or relevant field is preferred

Proven Experience as Data Analyst or Data Scientist

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