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Junior data scientist

CheckEye·Salary not specified

Primary stack

NumPyOOPPythonPandasOpenCV

Nice to have's

kaggleDockerMicrosoft AzureAWSNLPTime Series forecastingOCRSQLNoSQLNeural network model optimization methods

Job description

About the Position

We are seeking a Junior Data Scientist with a Bachelor's degree and at least 2 years of experience in implementing data science and computer vision projects. The ideal candidate will have strong Python skills and a solid understanding of machine learning and computer vision.

Responsibilities

  • Implement data science and computer vision projects
  • Utilize Python for developing solutions
  • Apply knowledge of classical algorithms and data structures
  • Work with libraries such as NumPy, Pandas, and ScikitLearn
  • Use OpenCV for computer vision tasks
  • Experience with deep learning frameworks like Keras, TensorFlow, and PyTorch
  • Familiarity with neural network architectures such as Yolo, U-Net, MobileNet, and ResNet
  • Strong understanding of Object-Oriented Programming (OOP)

Requirements

  • At least a Bachelor's degree in Computer Science or a related field
  • At least 2 years of real-world experience in data science and computer vision projects
  • Strong knowledge of Python
  • Strong knowledge of classical algorithms and data structures
  • Strong knowledge in linear algebra, geometry, calculus, probability theory, and statistics
  • Experience with Machine Learning libraries like NumPy, Pandas, and ScikitLearn
  • Practical experience with OpenCV
  • Experience in solving computer vision tasks such as classification, detection, and segmentation
  • Good knowledge and experience with at least one Deep Learning framework like Keras, TensorFlow, or PyTorch
  • Familiarity with neural network architectures such as Yolo, U-Net, MobileNet, and ResNet
  • Strong knowledge of OOP
  • Good written and spoken English

Nice to Have

  • Active participation in Kaggle competitions
  • Experience with Docker
  • Experience with Microsoft Azure or AWS
  • Familiarity with NLP and Time Series forecasting
  • Experience with OCR
  • Practical experience with SQL and NoSQL
  • Knowledge of neural network model optimization methods

About the Company

[Company description if present]

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