
Data Scientist
Job Requirements
Skills
Machine Learning
Natural Language Processing (NLP)
Communication Skills
Artificial Intelligence
Scikit-learn
PostgreSQL
SQL
Teamwork
Job benefits
Professional Development
Reimburses qualified educational expenses for you who take classes through accredited institutions
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Job description for Data Scientist at Pt. Quantus Telematika Indonesia
- Programming Skills : Python including object-oriented programming, syntax, functions, flow control statements, libraries, and documentation.
- Data visualization, The ability to present data analysis and processing results to non-technical members of the organization.
- Analytical and problem-solving skills. The ability to analyze data, identify trends, and develop solutions.
- Good Communication Skills
- Familiarity and Experience with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models
- Knowledge of machine learning and deep learning frameworks, including TensorFlow or PyTorch
- Knowledge of neural networks – especially convolutional neural networks (CNNs)
- Understanding of image processing techniques – including filtering, edge detection, and image segmentation– for manipulating images
- Mathematical skills in linear algebra, calculus, probability, geometry, and statistics for algorithm development and data analysis
- Able to develop near real time and real time image and object detection for analysis.
- Image analysis, The ability to develop image analysis algorithms and design platforms for image processing and visualization.
- Design, implement, and optimize NLP models for various applications, including but not limited to text classification, sentiment analysis, entity recognition, and language generation.
- Develop effective strategies for cleaning, preprocessing, and augmenting text data to enhance model performance.
- Stay abreast of the latest advancements in NLP and contribute to the development of custom algorithms tailored to specific project requirements.
- Train and fine-tune NLP models using appropriate frameworks (e.g., TensorFlow, PyTorch) and evaluate their performance using relevant metrics.
- Work closely with cross-functional teams to integrate NLP solutions into existing systems and applications.
- Stay informed about the latest research in NLP, contribute to internal knowledge sharing, and explore innovative approaches to solve language-related challenges.
- Maintain thorough documentation for models, algorithms, and processes, ensuring that knowledge is shared and accessible within the team.
- Developing AI based Chatbot

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