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AIS

Data Scientist (2 years of experience)

AIS Cairo, Cairo, Egypt

IT Services and IT Consulting · 51-200 employees

7 h ago
Remote data-scientist Mid (2-5 yrs) Full-time Egypt
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About the role

The Data Scientist will collect, clean, and preprocess data to develop, validate, and deploy machine learning models. They will also collaborate with cross-functional teams to translate business problems into analytical solutions and monitor model performance.

What they look for

Python R SQL Machine learning Data analysis Scikit-learn TensorFlow PyTorch Statistics Probability Power BI Tableau Matplotlib AWS Azure GCP

Requirements

Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess at least 2 years of experience in data analysis or machine learning. Strong proficiency in Python or R, SQL, and familiarity with cloud platforms and machine learning frameworks are required.

Benefits

Social insurance Medical insurance Learning and development opportunities Annual profit share

Full description

Job Requirements:

  • Collect, clean, and preprocess structured and unstructured data from multiple sources
  • Perform exploratory data analysis (EDA) to identify trends and patterns
  • Develop, validate, and deploy machine learning and predictive models
  • Design and implement data pipelines and automation workflows
  • Translate business problems into analytical solutions
  • Collaborate with cross-functional teams including engineering, product, operations, and leadership
  • Communicate findings through reports, dashboards, and data visualizations
  • Monitor model performance and continuously improve algorithms

Ensure data integrity, quality, security, and governance compliance

 

 

 

 

 

 

 

 

 

Qualifications & Skills

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
  • 2+ years of experience in data analysis, machine learning, or related role
  • Strong programming skills in Python or R
  • Proficiency in SQL and working with relational databases
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of statistics and probability
  • Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of big data tools such as Spark or Hadoop
  • Understanding of MLOps concepts and model deployment processes
  • Strong analytical thinking and problem-solving skills
  • Excellent communication skills
  • Ability to work independently and collaboratively

-Social and Medical Insurance

-Learning and Development opportunities

-Annual Profit Share

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