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Junior Data Scientist

Limitless Labs
Cairo, Egypt
Posted 2 years ago
239Applicants for1 open position
  • 95Viewed
  • 28In Consideration
  • 77Not Selected
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Job Details

Experience Needed:
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Job Description

  • Selecting features, building, and optimizing models using machine learning
    techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for
    building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its
    performance
  • Provide clear insights that help define strategy, and facilitate speed and accuracy of
    decision-making, and ultimately make a positive impact on the business.
  • Work in the opportunity, investigate, and explore phases of product development to
    identify the biggest and most valuable consumer needs and motivations
  • Have a strong toolkit for quantitative and qualitative methods to apply in problem-
    solving
  • Translate business questions into learning plans and then lead, develop, design and
    conduct primary research studies to enable the synthesis of data to develop insights.
  • Ensure effective communication of market data, including synthesizing them into
    insights for action
  • Manage third-party vendors to ensure learning objectives are met, and quality research
    standards are maintained
  • Find opportunities to develop and champion the use of new research methods to
    address unique research challenges and evolving trends
  • Remain abreast of best practices within the discipline and research methods
    employed, including the latest evolution of approaches as the industry develops
  • Coordinate multiple tasks simultaneously, meeting deadlines and working
    productively and efficiently under pressure

Job Requirements

  • Strong applied mathematical and statistical skills regardless of the tools.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree
    learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • 0-3 years in the field of information and business intelligence systems.
  • Data-oriented personality.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good understanding of data mart schemas, and OLAP tools.
  • Good understanding of data visualization concepts and tools.
  • Good understanding of using query languages such as SQL.
  • Broad understanding of databases (e.g. Oracle PL/SQL, Mongo), and high-
    the performance or distributed processing (e.g. Hadoop, Spark)
  • Deep understanding of probability, statistics and machine learning theory.
  • Experience with Python, Machine learning libraries, and data mining.
  • Good scripting and programming skills Python, R Data-oriented personality.
  • Must have a good understanding of machine/deep learning techniques and algorithms
    (SVM, Naive Bayes, Decision Forests, Neural Networks, etc.)
  • Applied experience with machine learning on large datasets.
  • Demonstrated skills in selecting the right statistical tools given a data analysis
    problem.
  • Experience with statistical software (e.g., R, Julia, MATLAB, pandas) and database
    languages (e.g., SQL).
  • Hands on experience with machine learning frameworks such as TensorFlow, Keras,
    etc... and techniques such as supervised machine learning, decision trees, logistic
    regression etc...
  • Advanced level in Microsoft Excel
  • Build, test and deliver new analytics/models using the new data sets as required to
    underpin use case.
  • Excellent understanding of machine learning techniques and algorithms such as k-
    NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science
    toolkits.

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