DATA SCIENTIST

• Data Preprocessing and Cleaning:
• Clean and preprocess GPR data to ensure highquality input for machine learning models.
• Handle missing or inconsistent data effectively.
• Feature Engineering:
• Work closely with the Senior Engineer to identify relevant features from GPR data for model development.
• Contribute to the development of new features based on domain knowledge.
• Model Development:
• Assist in building and finetuning machine learning models for underground terrain prediction.
• Implement algorithms under the guidance of the Senior Engineer.
• Collaborate with the team to experiment with different model architectures.
• Evaluation and Validation:
• Conduct model evaluation and validation to ensure robust performance.
• Implement metrics to measure the accuracy and reliability of the models.
• Documentation:
• Document code models and experiments effectively for knowledge sharing and future reference.
• Collaborate with the team to maintain clear and comprehensive documentation.
• Collaboration:
• Work closely with crossfunctional teams including domain experts and software engineers to integrate machine learning models into practical solutions.
• Participate in team discussions and contribute innovative ideas to enhance model performance.
• Learning and Development:
• Stay updated on the latest advancements in machine learning deep learning and GPR technologies.
• Actively engage in continuous learning and skill development.

• Bachelor s or Master s degree in Computer Science Electrical Engineering or a related field.
• Solid understanding of machine learning concepts and algorithms.
• Proficiency in programming languages such as Python.
• Familiarity with deep learning frameworks including TensorFlow and PyTorch.
• Strong problemsolving skills and attention to detail.
• Excellent communication and collaboration skills.
• Basic knowledge of signal processing and GPR technology is a plus.

machine learning,machine learning models,deep learning,algorithms,data,r,python for data analysis,python,models,sql