Dgm, Data Science
4 weeks ago
Position Summary
2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.
Role and Responsibilities
2. [Collecting and managing training data] Supervise to develop measures on collecting and managing effective data used for training machine learning algorithm.
3. [Developing data pre-processing algorithm] Reflect the features of collected data well and design pre-processing algorithm that eases unnecessary complexity.
6. [Securing and managing large-scale computing resources] Supervise to manage computing server to use algorithm that requires massive computing resources such as deep learning and massive data.
Skills and Qualifications
- Has a wide range of experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways
- Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results. Determines methods and procedures on new assignments and coordinates other's tasks
- May manage a group such as coordinating activities regarding costs, methods and staffing
- Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years
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