Job Description: Data Scientist with Image Classification Experience
Position Overview: We are seeking a skilled and experienced Data Scientist with expertise in image classification to join our team. As a Data Scientist, you will play a crucial role in developing and implementing advanced algorithms and models to analyze and classify images for various applications. You will collaborate with cross-functional teams to extract valuable insights from image data and contribute to the development of cutting-edge solutions.
Responsibilities:
- Develop and implement state-of-the-art image classification algorithms and models using machine learning, deep learning, and computer vision techniques.
- Pre-process and clean large-scale image datasets to ensure data quality and compatibility with modeling approaches.
- Design and train neural networks and convolutional neural networks (CNNs) for image recognition and classification tasks.
- Conduct exploratory data analysis to identify patterns, outliers, and trends in image data.
- Collaborate with domain experts and stakeholders to understand image-related business problems and develop appropriate solutions.
- Evaluate and optimize models for accuracy, performance, and efficiency using relevant evaluation metrics.
- Stay up-to-date with the latest advancements in image classification, deep learning, and computer vision research to continually enhance the team's capabilities.
- Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders through reports, presentations, or visualizations.
- Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to integrate models into production systems.
- Ensure compliance with data privacy and security regulations throughout the entire data science lifecycle.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. is a plus.
- Strong background and hands-on experience in image classification, computer vision, and deep learning techniques.
- Proficiency in programming languages such as Python, R, or MATLAB for data analysis, model development, and prototyping.
- Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning concepts, algorithms, and statistical techniques.
- Familiarity with image processing techniques and tools, including feature extraction, image segmentation, and object detection.
- Proficient in working with large-scale datasets and data pre-processing techniques specific to image data.
- Strong analytical thinking, problem-solving skills, and the ability to apply scientific methodologies to real-world challenges.
- Excellent communication skills to effectively collaborate with cross-functional teams and present complex ideas to stakeholders.
- Prior experience deploying models in production systems or cloud platforms is a plus.